Quantitative Research & Trading

Quantitative Research & Trading

Selby Jennings: A leading specialist talent partner for Quantitative Research & Trading

Selby Jennings is a leading specialist talent partner for Financial Sciences & Services. Our global Quantsteam provides top-tier talent solutions for quant analysts, offering permanent, contract, and multi-hire options across three continents. With nearly two decades of experience and an unrivaled network, we excel in securing the brightest minds, from systematic traders and modelers to portfolio managers and risk analysts.

Our expertise goes beyond talent acquisition. We advise enterprises on streamlining processes, upskilling workforces, and staying cutting-edge with flexible working models. For quant professionals, we provide expert insight on benchmarking benefits packages, salaries, and guide them through career moves.

With accolades like winning 'Best Executive Search - Quant' in the European Quant Services Award 2021, we are committed to helping clients secure top quant talent. Whether you seek exceptional quantitative talent or are a quant professional on the lookout for new opportunities, Selby Jennings is here to connect you with industry-leading firms worldwide.

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Benefits of working with Selby Jennings’ global Quants team

We are a specialist talent partner. Among the many benefits of working with Selby Jennings’ global Quants team are:

20 years of experience

Extensive knowledge: Our global Quants team has nearly 20 years of experience in this niche sector

award-winning recruitment experts

Our award-winning talent experts offer guidance in the Quants space across three continent

Global recruitment team

Our Quants team places, on average, over 300 professionals globally each year

Recruiting for a portfolio of clients globally

An unrivaled growing portfolio of global clients, both big and small

Do not miss out on securing your desired Quants professionals or securing your next Quants professional role in a Quant's workforce.

Quantitative Research & Trading Jobs

Futures MFT Trader

Role: Futures Mid-Frequency Trader Location: Amsterdam Salary: Competitive and candidate dependent A global, multi-billion euro, prop trading firm is seeking an experienced quantitative trader to join their expanding mid-frequency futures trading desk in Amsterdam. If you are looking for an intellectually challenging and highly rewarding role in the heart of European finance then please do not hesitate to apply. The Candidate: Fluent in English. MSc or PhD in a quant-related field e.g. mathematics, physics, statistics/econometrics, computer science. Experience working at a top proprietary trading firm, quantitative hedge fund, or bank. 3+ years' experience in the futures space with a proven track record of achieving a Sharpe Ratio above 2.5 and alpha/signal generation. Experience using R, Python, and C++ (on Linux). The ideal candidate has experience creating and managing their own strategies while being able to contribute in a team environment. The Role: Implementing non-latency sensitive strategies from a few seconds/minutes up to 2 weeks holding periods. Large preference for intraday strategies, ideally around 30 mins. Possibility to operate either as an independent 'sub-PM'-type role or as part of a highly collaborative team wherein the hire will contribute ideas for new strategies as well as optimize the team's existing strategies.

Negotiable
Amsterdam
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Mortgage Quantitative Research Analyst

Title: Mortgage Quantitative Research Analyst Salary: $300,000 A top global multi-billion dollar fixed income multi-strategy firm is looking to bring on a Mortgage Quantitative Research Analyst to join their growing Data Science Team. This research focused team is specifically tasked to work with traders and PM's across MBS, RMBS, & CMBS. An incredible opportunity to work with an established and tenured Managing Director that heads up a collaborative and close knit team. Although they are looking to bring on someone as soon as possible there is flexibility on waiting for bonuses that are paid out in Q1. Responsibilities: Developing mortgage agency & non-agency models and analytics. Conducting thorough research using large datasets related to mortgage metrics. Developing and supporting relative value reports and risk management decisions. Requirements: Advanced degree in a quantitative field. 2 + years of professional programming experience (C++, Python). Proficiency in SQL. 2+ years of experience supporting a structured products trading desk. Strong data science & machine learning skills are a plus. Good communication skills.

Up to US$300000 per year
New York
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Quant Lead

Summary: I am working with a UK based start-up that is looking to expand their presence in NY. Over the last 10+ years, this firm has provided top of the line risk analysis and reporting for a multitude of hedge funds. Given their success, the CEO has identified the need to bring on a Derivative Quant Lead to head up the North American business. In this role, you will build out derivative infrastructure, work directly with clients, and lead the direction of US expansion of the platform. Most importantly, my client is looking for someone who can wear multiple hats and take on responsibility and leadership within a rapidly growing business. This is a unique opportunity to gain exposure to a diverse array of clients, work directly with senior leadership, and step into a position with massive career mobility. Requirements: 2+ years of quantitative experience supporting a derivative trading desk PhD or Master's in a quantitative discipline Proficient in Python and C++ Entrepreneurial minded, highly motivated, strong communication skills Responsibilities: Lead development efforts on building out a US based presence for the business Work to further develop a derivatives platform from scratch Work collaboratively with the global team Lead the expansion of the US based Quant team

US$150000 - US$175000 per year
New York
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Equity Quantitative Researcher, Multi-Bn AUM Hedgefund

I am working with a pod at a multi-Bn AUM multimanager platform on a equity quant research position. The PM has a very strong track record over the past decade, and has built an established team over the past 3 years at this fund. The tech and infra available are best in class, and they are looking for someone to take a lead role in alpha generation for equity stat-arb. Comp is competitive and will accurately reflect the impact your alpha has on PnL. There is also a clear path towards a sub-PM seat. They are looking in London, Paris and Zurich. Preferred Location: The position is open to candidates in any location in Europe. The ideal candidate should possess excellent communication skills and be comfortable working collaboratively with team members remotely. Principal Responsibilities: Collaborate with the Portfolio Manager in developing systematic trading strategies, focusing on idea generation, data gathering, research/analysis, and model implementation and backtesting for systematic global equities strategies. Conduct research across diverse quantitative trading strategies, including fundamental, events, flow, and statistical arbitrage. Explore research opportunities across multiple regions, maintaining a global perspective. Required Skills: 1+ Years Experience in Equity Alpha Research Proven Strategies with Sharpe (1.5+) and holding periods <2 weeks. MSc / PhD in Quantitative Subject (Mathematics, Statistics, CompSci etc...) Strong programming skills in Python

£250000 - £650000 per annum
England
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Mid-Level Machine Learning Researcher

A close-knit and very successful Quant Fund in the NYC area is looking for a Machine Learning Researcher (5-10 years experience) to join their Quant Research team. They are ideally seeking someone with deep expertise in developing and deploying bespoke ML models that can be used in optimizing the firms' strategies. In addition to helping build the ML framework the firm will use moving forward for strategy development, the researcher will have the pathway to build a small team underneath them to tackle new and even more ambitious projects as the firm continues to grow. This is a unique opportunity for someone who is looking to take on a Greenfield initiative while also enjoying the stability of a fund that is consistently overperforming. The pre-existing team is comprised of academics from top-tier universities and industry professionals from highly competitive firms. The ML Researcher will add value by serving as the go to expert in this domain while also learning new concepts and skills as you tackle problems in quant finance. Please reach out if you have: Masters or PhD in STEM field (top 10 universities) 5+ years experience working in an AI/ML start up, FAANG firm and/or quant fund Strong Python skillset Ability to work well in an autonomous fashion Desire to collaborate and work in a team environment Strong at problem solving

US$600000 - US$1500000 per year
New York
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Senior Quantitative Researcher/Sub-PM - Stat Arb Equity

I am currently working with a $20BN AUM Hedge Fund in New York that is actively looking for Senior Quantitative Researchers and Sub-PMs in the Global Equities and Futures spaces as they just recently hired a new Managing Director and SPM to fully build out a new Equity Stat Arb business at the firm! They are looking for exceptionally strong Stat Arb, Futures, and Index Rebalance Quantitative Researchers that will play a pivotal role in assisting in the build out of the firm's largest Stat Arb Equities book, and to assist the SPM in developing the foundational strategies for the team through collaboration on alpha and signal generation across the entirety of the research process. This role offers an exciting opportunity to contribute to join a completely new and growing business within a long-standing successful hedge fund working alongside a SPM with a strong history of success in the Equities space! The role itself is also very flexible as to location and can sit within any of the firms global offices! Key Responsibilities: Collaborate with the SPM to generate forecasting ideas, conduct statistical analysis, and generate alpha signals for the implementation of intraday strategies for Stat Arb Equity and Futures strategies Develop, implement, and maintain systematic trading models alongside other researchers within the team Collaborate with the SPM and broader research team to optimize existing trading strategies and perform execution analytics Qualifications: Advanced degree (Masters or Ph.D.) in a quantitative field (e.g., mathematics, finance, economics, physics, computer science) 3+ years of experience developing and implementing systematic trading models or generating alpha for Stat Arb Equity, Futures, or Index Rebalance strategies Experience and knowledge of TCA modeling, execution optimization, and portfolio construction is a plus Strong programming skills in Python with experience across cloud-based computing technologies. Strong analytical skills to apply advanced statistical techniques for research and modeling

US$400000 - US$800000 per year
New York
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Sr Structured Credit Quant/Portfolio Manager

Sr Structured Credit Quant A leading Structured Products Hedge Fund is looking for a Sr Credit Quant to join their newly established Credit Business. The candidate must have experience across Mortgage/Credit Quantitative Modeling with the interest in contributing to Portfolio Management on the investment side as well. You will be responsible for credit modeling, prepayment modeling, default modeling, CRT, CLO, CMBS, ABS, and portfolio management. Responsibilities - Develop and implement quantitative credit models, prepayment models, and default models. - Develop and maintain risk management models. - Analyze and interpret data to produce actionable insights. - Build and maintain models of CRT, CLO, CMBS, ABS, and lead portfolio management efforts. - Work closely with the MBS/Mortgage business to develop and implement quantitative strategies. - Produce reports and presentations for senior management. Skills - Strong background in quantitative modeling. - Experience with credit modeling, prepayment modeling, and default modeling. - Experience with CRT, CLO, CMBS, ABS, and portfolio management. - Strong analytical skills. - Strong programming skills . - Strong communication skills. Additional Information - Location: New York, Hybrid, remote

US$180000 - US$220000 per year + Discretionary Bonus
New York
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Quant Developer

A brand new systematic arm of an elite quant trading firm based in NYC are looking for a senor quant developer to assist with building new highly distributed trading systems in Python. The business have developed highly successful trading strategies and have heavily utilized ML and are now expanding into new asset classes and strategies. Responsibilities: Partner closely with Quant Researchers to implement data pipeline using High Performance Computing technologies. Engage in development of order execution stack. Develop and maintain efficient and scalable end-to-end data pipelines to ingest internal and external data sources and manage security symbol mapping. Develop and manage critical task scheduling work in Airflow for daily signal generation, portfolio optimization, and order submission and monitoring. Work on developing end-to-end research, backtesting, and trading platform tools. Requirements: A STEM degree from a world-leading university. Expertise in Python programming Experience building cutting edge trading infrastructure Excellent Communication skills Ability to work collaboratively as well individually

US$200000 - US$300000 per year + Bonus
New York
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Senior Quantitative Researcher

Senior Quantitative Researcher Introduction: We are seeking a Senior Quantitative Researcher to join a leading hedge fund based in New York City. The successful candidate will be responsible for developing and implementing systematic trading models and statistical arbitrage equity/futures strategies. Skills: * Minimum of 3 years in a quant research seat * Experience in developing and implementing systematic trading models * Strong analytical skills to apply advanced statistical learning algorithms for research and modelling is required * Experience working with datasets at both higher and lower frequencies is required * Experience with AWS. portfolio construction, risk modeling, TCA modeling * Strong programming skills in Python * Experience with intraday and daily statistical arbitrage equity/futures strategies

US$200000 - US$350000 per year + bonus
New York
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Quantitative Developer (m/f)

Key Responsibilities: Develop and implement complex quantitative models for the trading platform. Collaborate with the team to improve our existing models and systems. Use your skills in C++, Python, and R to solve complex problems and optimize trading strategies. Qualifications: A degree in Mathematics, Computer Science, or a related field. Proven experience as a Quantitative Developer or in a similar role. Strong programming skills in C++, Python, and R. Experience in AI or Machine Learning. Exceptional quantitative skills. Strong problem-solving abilities and attention to detail. Excellent communication skills and the ability to work well in a team. If you are passionate about quantitative development and are looking for a challenging role in a reputable company, I would love to hear from you. Apply today to become a part of an innovative team! Note: Applicants must be eligible to work in Switzerland.

Negotiable
Zurich
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Quantitative Researcher

Currently working with a boutique machine learning trading firm in Hong Kong to find a talented Junior Quantitative Researcher. The chosen candidate will be part of the Quant Team and will be responsible for developing and implementing Machine Learning quantitative strategies. Responsibilities The Quantitative Researcher will be responsible for the following: * Developing and implementing ML quantitative strategies * Backtesting and analysing trading strategies * Conducting research to identify new opportunities * Working with other team members to develop new products * Providing quantitative support to the trading desk Skills The ideal candidate will have: * A strong educational background in Quant related areas, PhD is a plus. * Strong programming skills in Python * Experience with large data sets * Excellent communication and interpersonal skills, English is a must.

Negotiable
Hong Kong
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Product Manager - Leading Quant Hedgefund

My client is a leading Quant Hedgefund that specialize in leveraging advanced quantitative strategies and cutting edge technology with a focus on domestic and overseas markets. They are looking for a Product Manager with a strong background in product solution design related to fund operations, data decision making, CRM and other middle end product. Responsibilities: Design relevant demand plans, write demand specifications, organize demand reviews, coordinate internal and external resources, and actively promote the implementation of plans; Plan product version iterations, coordinate and promote IT development work, and lead user acceptance testing; Follow up on product implementation, continue to promote the optimization of product functions, and track and solve daily operational problems; Continue to pay attention to technology trends and industry dynamics, and maintain product advancement; Requirements: Bachelor degree or above, computer or finance related majors are preferred; Have experience as an Internet product manager with excellent product solution design capabilities Familiar with product process design tools such as Axure and Visio would be a plus Have a strong interest in enterprise-level middle-end systems Have good logical thinking skills with the ability to think independently and solve problems.

Negotiable
Beijing
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Quants News & Insights

Key Insights & Takeaways from QuantMinds 2023 Image
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Key Insights & Takeaways from QuantMinds 2023

​​Selby Jennings' talent acquisition experts from Europe, the USA, and Asia attended QuantMinds 2023 in London in November - the world's leading quant finance event. Alex Morris, Vice President - Quantitative Analytics at Selby Jennings Europe, shares his key takeaways from the event, including current and future market trends and their impacts on hiring.What trends have you seen and heard about at QuantMinds that will continue to have an impact in the coming year?QuantMinds, as always, was an excellent chance for some of the very best in the industry to discuss the latest advancements. Machine learning, volatility, portfolio optimisation and more were discussed at length. I think it was a trickier year than expected for the majority of investment banks. What happened to big players such as Credit Suisse earlier in the year had a large shock effect on the market. We’re still waiting to see the full implications, but as a result, most investment banks are still finalising their hiring plans for next year. Larger hedge funds and prop shops, however, have relied on diversification to continue growing in both headcount and AUM. They are getting increasingly better at identifying markets from which to gain additional market share. We’ve seen buy side firms branching into new frequencies, strategies, and asset classes. On the whole, there are ambitious growth plans for 2024. What is the impact and potential of artificial intelligence and machine learning in finance?Machine learning has been one of the hottest topics discussed at QuantMinds over the past couple of years. Speakers have discussed its utilisation for a wide range of projects. Its potential can be harnessed for automating BAU processes, derivative pricing and alpha generating strategies.What was more hotly debated this year, however, was the governance processes that will need to be introduced simultaneously. Machine learning can sometimes result in undesirable outcomes, and many in the industry are asking to which degree a human overlay should be needed. What are some of the biggest challenges companies are facing when hiring talent in quants?Securing top talent in the quant space is getting increasingly competitive. It’s an incredibly candidate-driven market and firms will do everything they can to retain their employees. Compensation packages are amongst the most competitive in the industry, non-compete periods can be in excess of 12 months, and counter offers are made for almost every candidate. It was pleasing to hear that improving diversity within teams remains a big priority for most of the hiring managers that attended. It of course can be tougher within the quant space than other areas, but examples of effective initiatives are ensuring a diverse interview panel, using non-biased job advertisements, and creating an empathy-driven culture to attract and retain a diverse workforce. What are your key takeaways for hiring managers from this year's QuantMinds conference?With the diversification plans, as touched upon previously, competition for talent within certain markets is becoming increasingly fierce. More firms are now competing for the same revenue generating candidates, and thus it’s important to do everything possible throughout interview processes to get alpha generators onboard. In order to make yourselves as attractive as possible to candidates, ensure to lean on your talent partner for guidance. They can offer insight into how you’re perceived in the market, how competitive your compensation structure is, and for each candidate can tune into the specific motivational factors impacting a decision.Looking to hire? Are you looking to hire the best talent in financial sciences & services? Contact Alex Morris for more information, or request a call back and our experts will get in touch with you. ​ ​

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Quantitative Analytics Salary Guide Europe 2023

​In Europe’s financial services sector, there’s a consistent demand for professionals in Quantitative Analytics, Research & Trading. Requirements for professionals across front and back office, covering the entire lifecycle from coding and validation to derivative pricing and automating functions, is astronomically high.Having guidance on salary and industry trends is crucial for hiring managers and professionals alike. Our latest salary guide offers in-depth information on compensation, broken down by job roles and experience levels. Don’t miss these essential insights - download your copy of the Selby Jennings Quantitative Analytics Salary Guide Europe 2023 here:​ ​

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The Great Return: From Crypto Back to Traditional Finance

In recent years, the financial world has been rocked by the meteoric rise of cryptocurrencies. A lot of talented quants and traders, attracted to crypto's volatile prices and potentially massive returns, shifted their attention away from traditional markets and dove headfirst into crypto native funds. However, the tides seem to be shifting once again, and there's a noticeable migration back to the world of traditional finance. Why? Let's delve deeper.The Similarities in Pricing EnginesFor those who might not be well-versed in the intricacies of the financial world, pricing engines are essential tools used by traders to make quick buy or sell decisions based on a myriad of variables. These engines are especially vital in areas such as electronic FX (foreign exchange) trading.Interestingly, many of the pricing engines used in electronic FX trading are quite similar to those employed in the crypto market. This makes the transition between the two markets relatively seamless for quants and traders, so when the dynamic crypto market turns, the familiarity with traditional finance pricing engines might draw them back.The Volatility of the Crypto MarketWhile volatility can be profitable for traders, it can also be perilous. The crypto market, in particular, is known for its extreme fluctuations, sometimes swinging by double-digit percentages in a single day. This kind of uncertainty can be exhilarating for some, but draining for others. The fatigue from such intense volatility might be one of the reasons driving traders back to the more stable, albeit less exciting, realm of traditional finance.Regulatory ConcernsThe crypto world has always existed in a kind of regulatory gray area. As governments and financial institutions around the world grapple with how to classify and regulate cryptocurrencies, traders and funds operating in this space are constantly on their toes. This regulatory unpredictability can be a significant source of risk and stress, making traditional markets with established regulations appear more attractive.The Quest for StabilityDespite the potential for massive profits in the crypto world, the allure of stability and a steady paycheck can be tempting. Traditional finance, with its established institutions, regular trading hours, and relatively predictable market movements, offers a level of security that the 24/7 rollercoaster of crypto trading might not.Broader Market DynamicsWhile the crypto market offers a limited (though growing) number of assets to trade, traditional markets, including FX, commodities, equities, and bonds, provide a diverse array of opportunities. This breadth can be appealing for traders looking to diversify their strategies and risk profiles.It's essential to recognize that while there's a noted shift of quants and traders moving back to traditional finance, this doesn't signify the decline or dismissal of cryptocurrencies. The crypto market is still young, evolving, and undeniably influential. However, this migration underscores the enduring appeal and resilience of traditional financial markets. As the landscape of global finance continues to evolve, it will be fascinating to see how these migrations and intersections between the old and new financial worlds shape the future.If you're a firm or individual looking to harness the expertise of quants professionals, especially during these dynamic times, we have the right resources for you. Toby Hill, our seasoned expert in matching financial talent with demanding roles, is at your service. To get started and discuss your requirements, please request a call back by completing the form below.Request a Call Back

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The Real Alpha: Unleashing Talent in Quantitative Finance Hiring

​Demand for Quantitative Analytics, Research & Trading professionals is always increasing in the financial services industry. It can be a challenge for hiring managers without the right talent partner to attract and retain the best Quants, meaning having guidance on salary and industry trends is crucial in getting the right workforce in place for the years ahead.Similarly, professionals with the right skills and expertise in Quantitative Analytics, Research & Trading can find themselves in a position of too much choice, with a wide range of attractive opportunities all vying for them, meaning many professionals are curious about whether their salaries and bonuses match their peers.Discover talent challenges and opportunities across Quantitative Analytics, Research & Trading, which includes insights on: A comprehensive overview of the Quants space Strategies for successful hiring of QuantsSalary overviews for the US, Europe, and APACA bonus chapter on women in Quants Key takeaways for those hiring and professionals considering their next move Download ‘The Real Alpha’ now. ​

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Expanding Quants Talent in the UK

The United Kingdom's status as a global financial hub relies on its ability to attract and develop top talent in the field of Quantitative Finance, commonly known as Quants. As the financial industry becomes increasingly data-driven and technology-centric, the demand for skilled Quants professionals continues to rise. Expanding the Quants talent pool in the UK is not only crucial for maintaining the country's competitive edge but also for driving innovation and economic growth. In this article, we will explore the importance of expanding Quants talent in the UK and discuss strategies to achieve this goal.Strengthening Academic ProgramsOne of the primary avenues for expanding Quants talent in the UK is through strengthening academic programs. Collaborations between universities, industry practitioners, and regulatory bodies can help design and update curricula that align with the evolving needs of the finance industry. This involves integrating courses on advanced mathematics, statistical modeling, computer science, and financial theory to provide students with a comprehensive skill set required in the Quants field.Additionally, universities can establish partnerships with financial institutions to offer internships, apprenticeships, and research opportunities. Such programs provide students with practical exposure to real-world financial scenarios, fostering a seamless transition from academia to the industry. By enhancing the quality and relevance of academic programs, the UK can produce a steady stream of highly skilled quants professionals.Promoting Continuous Professional DevelopmentExpanding Quants talent in the UK also necessitates a focus on continuous professional development. The fast-paced nature of the finance industry demands that Quants professionals stay updated with the latest methodologies, technologies, and regulatory changes. Encouraging and supporting ongoing learning and professional certifications ensures that existing Quants talent remains relevant and adaptable.Financial institutions and industry organizations can play a pivotal role in this regard by offering training programs, workshops, and conferences tailored to the specific needs of Quants professionals. Collaborative initiatives between industry leaders, professional bodies, and academic institutions can provide access to cutting-edge research, industry insights, and networking opportunities, creating a culture of lifelong learning and growth.Fostering Industry-Academia PartnershipsStrong partnerships between the finance industry and academic institutions are essential for expanding Quants talent in the UK. Financial institutions can contribute to curriculum design, offer guest lectures, and provide industry projects or case studies that allow students to apply their knowledge in real-world scenarios. Simultaneously, universities can establish career centers, organize job fairs, and facilitate networking events that connect students with potential employers in the finance industry.Collaborative research programs between academia and industry can also drive innovation in the field of Quantitative Finance. By bridging the gap between theoretical research and practical application, these initiatives can yield valuable insights and advance the state-of-the-art in Quants methodologies.Encouraging Diversity and InclusionExpanding Quants talent in the UK should prioritize diversity and inclusion. Historically, the finance industry has faced challenges in achieving gender and ethnic diversity in Quants roles. To address this, efforts should be made to eliminate unconscious biases and promote equal opportunities for underrepresented groups.Financial institutions can implement diversity initiatives, such as mentorship programs and scholarships, to attract a diverse pool of talent. Collaboration with professional organizations focused on diversity in finance can also provide networking opportunities and support systems for individuals from underrepresented backgrounds. By embracing diversity and inclusion, the UK can unlock a wider range of perspectives and experiences, leading to enhanced innovation and problem-solving within the Quants field.Partner with Selby Jennings to Unlock the Potential of Quants Talent ExpansionExpanding the Quants talent pool in the UK is crucial for driving innovation and maintaining a competitive edge in the finance industry. By partnering with Selby Jennings, a trusted talent consultancy specializing in the financial sector, organizations can access our extensive network, industry expertise, and tailored hiring strategies. At Selby Jennings, we understand the unique needs of the finance industry and can identify and attract top Quants professionals who align with your organizational objectives. To unlock the potential of Quants talent expansion, request a call back today and take the first step towards securing the niche talent available.

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How the AVP of Selby Jennings supports diversity in Quants

Konza Akhtar has seen many countries in her life. She was born in Pakistan and grew up in Hong Kong, then pursued her master’s degree in psychology in the UK. It was in London that she realized she loved working with people and joined Phaidon International as one of the first post-Covid hires. At Selby Jennings, Konza found a surprising use for her psychology degree in talent search. Two and a half years on the job, she is now moving into her first management role as Associate Vice President, specializing in placing Quants professionals in the research & trading, portfolio management and buyside/hedge fund space.What are you proudest of in your career?“I’m really proud of being a market specialist, and consulting senior quantitative portfolio managers in the hedge fund space. Sometimes, these professionals appear in the news, so being able to work with them and gain their trust and respect is what I am most proud of.” Why do you think it’s important to celebrate International Women’s Day, especially in the workplace?“I think it is very important to have a day like International Women’s Day that acknowledges what women have faced in the workplace, as some of the barriers we deal with are different compared to others. International Women’s Day starts conversations, and conversations are the first step in making changes. “I attended the International Women’s Day celebrations last year at Phaidon International and felt the day was exceptional. The panels that were held felt like a safe space to share struggles and it was great to see the organization acknowledge it as well and appreciate the day. There have been so many changes since then, such as the Future Female Leaders Program and the Women In Sales awards, as well as developments across brands. We know and feel Phaidon International cares and is addressing the challenges we face as women.”How do you encourage gender diversity internally in your brand? “I’ve noticed that I’m starting to raise awareness in meetings, educating others on struggles they may not have considered. Addressing it first is a big step. “I also support when we’re interviewing consultants to come work for Selby Jennings. If we’re hiring a female candidate, I think it’s important that they can see someone like them in the business already, demonstrating to them that we have fostered a workplace that is diverse and that anyone can succeed. “When we see others being successful, it shows that it is possible, so I hope I’m a proven point of success and an example to other women.”How do you encourage gender diversity in your sector?“At QuantMinds International 2022, I took part in a panel on diversity, and I was so impressed with the number of people that turned up from leading banks that were freely speaking about diversity and the struggle they find in sourcing diverse talent. Being able to contribute to that discussion was amazing. I provided context guidance, advice and afterwards I had attendees coming to me asking for solutions. I want to continue to be part of these conversations and help wherever possible to improve the situation.”What advice would you give your younger self?“I’d tell my younger self that it’s okay to not have everything all sorted out. You might not be married by a certain age, or have a house or kids. You’ll probably feel younger than you are and you might never really know how to adult, or it may feel like that! There are no rules and you don’t have to do anything you don’t want. I wish I was able to have been unapologetically myself, so don’t let comments get to you. If you have been called too direct or too punchy, don’t internalize it, just continue to be yourself.”For more interviews with the inspiring women at Phaidon International, please visit our hub here.

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The Future of Quants

​​Interested in how to attract, retain and promote quantitative talent? Or keen to find out as a Quants professional whether your pay matches your peers?Quantitative expertise in financial services is a highly sought-after skill, and there is no doubt that the job markets for Quants is going from strength to strength.Naturally, many professionals are curious about whether their salaries and bonuses match their peers. For hiring managers grappling to stay competitive to attract and retain talent, having guidance on salary and industry trends is crucial in getting the right workforce in place for the years ahead.Discover the latest report on ‘The Future of Quants’, covering the talent challenges and opportunities across quantitative research & trading, which includes insights on:The 5 hot trends in Quants to know about10 key strategies to retain Quant talent​Salary & bonus guidance across the US, Europe & APAC​​Download your copy by completing the form below:​

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Quants Global Market Report 2021

​With an extremely active hiring market and an increase in demand for specialist talent, our Quants Recruitment team has produced a Global Market Report 2021 to share key insights and trends from across the industry.​This market report discusses insights on:• Execution strat’s and High-Frequency Trading• The continued growth of Systematic Fixed Income Trading• How Quant firms are diversifying their business mix• The growth of digital assets• Geographic trends• Compensation reports​Complete the form below to download the full report:

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quantitative-research-and-trading

What Should We Be Teaching the Next Generation of Quants?

​​Oliver Cooke, Managing Director of North America, has been invited to QuantMinds Americas to moderate the much-anticipated panel, “What should we be teaching the next generation of quants?” The panel will discuss the future of quant talent and skills, as well as exploring how quant modeling compares across different sectors. Looking ahead to the event, Cooke shares some key themes that he looks forward to hearing more about from the esteemed panel. Quantitative finance has evolved dramatically in the last 30 years. Quants have gone from a group of individuals operating in a think-tank style environment, fairly separate from the front-office, to being a key extension of any trading desk, client-facing and the most sought after talent in the market. One of the key developments that came out of QuantMinds International in Vienna, this past May, was how ubiquitous machine learning and AI techniques have become in any quant's day-to-day. Although many of these techniques have been around for decades, they are now have become more mainstream. There are even examples of applying AI techniques to more traditional quantitative problems such as option pricing. It’s clear that any up-and-coming quant should be educating themselves and actively practicing machine learning and AI techniques as they will only become more relevant in the future.The rise of the 'Quantitative strategist' (or 'strat') was pioneered by the likes of Goldman Sachs and Morgan Stanley more than 15 years ago. Almost every bank now has a quant 'strat' team or has that model as part of their entire approach to quantitative support. What does that mean? That quants are a true extension of the trading desk. That they need to have a high level of quantitative skill, alongside computer science ability, topped off with true business understanding and soft skills to work with the trading desk to implement their solutions. Having both technical and soft skills is becoming essential in order to be a top quant in the industry. Finally, quants have the opportunity to help firms solve wider business challenges through the use of data and analytics. We are lucky enough to have an amazing, world-class panel of practitioners joining us for panel discussion at QuantMinds Americas. In particular, Afsheen Afshar and Shimon Senderowitz have been at major organizations such as Goldman Sachs, JP Morgan and Blackrock. In these groups, they have been using quantitative and data science techniques to solve key business challenges. This shows the wider impact quants can have both within finance and beyond, solving organizational challenges, talent challenges, efficiency and operational challenges. This means that the options for up and coming quants to apply their skillset in different ways is vast and will only become bigger in the future. QuantMinds Americas will bring together experts from banks, investment managers, regulators, Silicon Valley, academia and beyond, to learn, network and share expertise on the future of the quant industry. Attendees will hear about the latest breakthrough research, as well as the biggest issues facing the industry, from some of the world’s most revered quant thought-leaders.Registration for both QuantMinds Americas, and the co-located RiskMinds Americas is now open. Click below, and enjoy an exclusive 15% discount on your registration for either event. ​-----------------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.

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The Growth of Quants in Investment Banks Image
quantitative-research-and-trading

The Growth of Quants in Investment Banks

​Picture an investment bank drawn in a ‘Where’s Waldo?’ style. You’ve got traders, finance, the legal team and management; human resources and an IT team hammering away at their keyboards. Where would you expect to find quantitative analysts (quants)?Ten years ago, quants would have been tucked away on trading desks, inputting data into Excel spreadsheets and working through it manually to uncover patterns and statistics. Their findings would help traders to confirm the right price and most promising investment options.Skip forwards a decade and the role of the quant has changed substantially. For the most part, they are now incorporated into risk management teams, instead of being on a trading desk. There are more of them, they are a more diverse group and they use new tools to carry out different tasks. They are in considerable demand and much valued by financial organizations. What brought about this change?Why are there more quants?The last decade has seen a breath-taking speed of technological development. Analytic software combined with increased opportunities to gather data have led to Big Data: more information, collected more quickly. There are sophisticated tools to integrate, sort and process this data into state-of-the-art models.Electronic modeling now means that trading can be carried out by computers, based on an algorithm calculation of the most favorable moment to buy and sell. If algorithms are often the brawn behind hedge funds, investment banks, asset management services and private equity firms, quants are the brains: they program the algorithms that make the system work.Quants are also used more and more in the business of risk, helping to calculate probabilities and statistics using advanced modeling. This enables risk management teams to keep on the right side of an increasing volume of laws and procedures needed to manage risks appropriately.There are now many more quants employed in this reformulated role, shifting from revenue generation to risk management. Banks require quants for a range of functions including the valuation aspects of derivatives and pricing.A more diverse quant workforceAnother notable change in the last decade is the increasing diversity of the quant workforce. Although this STEM-related field used to be dominated by men from a similar background, intake is now much broader and includes many women. Female quants talent is much in demand by banks seeking to improve the diversity of their teams.As with other STEM areas, fewer women studying related subjects such as Math and Physics means this female talent is hard to find. When female quants are recruited to firms, employers have an additional incentive to keep them motivated and committed to the role, in an effort to retain this highly sought after talent.The use of models and tools: a systematic or discretionary approach?The development of algorithms, machine learning and related tools has transformed the nature of quantitative analysis. Quants need to ensure that data is interpreted and presented in the best possible way, but there is very little inputting and processing done through human labor any more.This has led to a divergence of opinion in the best way to approach investment decisions. As Leda Braga, a high-flying quant known as the ‘Queen of Quants’ has said, trading is now dominated by two approaches to decision-making: systematic and discretionary.A discretionary approach to trading is based on the trader’s own thought processes and decision-making skills. Systematic trading uses technology to indicate the best investment strategies, using algorithms to process reams of data. Quants are essential to the systematic approach, which is gaining in popularity.However, the discretionary approach is still very common, particularly because people tend to respond more vehemently to an error made by an algorithm than an error made by a human. As Braga observes: “We scrutinize the algos with a lot less tolerance than we scrutinize human action.”What does it take to be a good quant?To be successful as a quant, strong analytical skills are a must. Most professionals have advanced computer programming abilities, typically using SQL for database management and perhaps an object-oriented language such as Python or R to clean, sort and process data.Quants usually have advanced degrees in a STEM subject, such as computer science, mathematics or physics. A PhD in one of these subjects is common.  There is also increasing popularity of financial engineering master’s degrees such as financial engineering or quantitative/mathematical finance.Could your team benefit from having a quant on board? Emailinfo@selbyjennings.comto learn more about what they could do for your business. ------------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.

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