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Your job:
As a member of the Modelling Data team, you supply ALM Risk Modelling with the data they need to compile risk models. On one hand your duties will consist of technical aspects such as SAS/ SQL and Python programming, performing Data Quality analyses and integrating datasets. On the other hand you'll be working on documentation and using your communicative skills for stakeholder alignment. You also play an active role in the frequent team meetings where knowledge-sharing and transparency on progress is key.
Your working environment:
The Banks Risk Data & Analytics (RD&A) is a rapidly growing team of which quantitative professionals form a large part. We are the bank's expertise centre for the development of quantitative risk models. Our models support other entities of the bank in their day-to-day decision-making, from pricing deals and issuing customer loans to setting and monitoring market risk limits and defining the bank's capital requirements.
In this role, you will be working in the Modelling ALM Data teams. The teams largely consist of highly motivated colleagues with international backgrounds, working in an open and informal atmosphere. Given the importance the regulatory authorities ascribe to modelling and the data underpinning it, this is a challenging and impactful role.
Your profile:
Your ability and willingness to work with others is crucial for your success in this role. You are naturally someone who takes initiative, structures and organises work well and is keen to work with others to deliver tangible results. You are practical, have an analytical approach and good communication and presentation skills. You are a strong team player and you take responsibility for your work. In the dynamic environment in which you operate, you have the ability to get all stakeholders on board.
You also have the following qualifications and skills:
*a Master's degree, preferably a beta study
*experienced (3+ years) in working with data related to Asset and Liability Management (ALM) Models
*highly skilled in SAS Enterprise Guide, SQL and Python
*the ability to detail and challenge data requirements
*knowledge of risk management in banking or financial institutions
*excellent verbal and written communications skills
*good stakeholder management skills
What we offer:
*we will give you the freedom to get the best out of yourself, work flexibly and have plenty of room to grow
*we help you to stay fit and healthy
*a job in pay scale 9 to 11, depending on your knowledge and experience
*a supplementary benefit budget of 11% with which you can buy flexible fringe benefits
*a personal development budget of โฌ 1,000 a year
*an annual public transport season ticket
*a generous pension scheme
Senior Credit Risk Modelling Data Analyst
- Location Amsterdam
- Job type Permanent
- Salary Negotiable
- Discipline Investment Banking
- Reference PR/275488_1600436499
As a member of the Modelling Data team, you supply ALM Risk Modelling with the data they need to compile risk models. On one hand your duties will consist of technical aspects such as SAS/ SQL and Python programming, performing Data Quality analyses and integrating datasets. On the other hand you'll be working on documentation and using your communicative skills for stakeholder alignment. You also play an active role in the frequent team meetings where knowledge-sharing and transparency on progress is key.
Your working environment:
The Banks Risk Data & Analytics (RD&A) is a rapidly growing team of which quantitative professionals form a large part. We are the bank's expertise centre for the development of quantitative risk models. Our models support other entities of the bank in their day-to-day decision-making, from pricing deals and issuing customer loans to setting and monitoring market risk limits and defining the bank's capital requirements.
In this role, you will be working in the Modelling ALM Data teams. The teams largely consist of highly motivated colleagues with international backgrounds, working in an open and informal atmosphere. Given the importance the regulatory authorities ascribe to modelling and the data underpinning it, this is a challenging and impactful role.
Your profile:
Your ability and willingness to work with others is crucial for your success in this role. You are naturally someone who takes initiative, structures and organises work well and is keen to work with others to deliver tangible results. You are practical, have an analytical approach and good communication and presentation skills. You are a strong team player and you take responsibility for your work. In the dynamic environment in which you operate, you have the ability to get all stakeholders on board.
You also have the following qualifications and skills:
*a Master's degree, preferably a beta study
*experienced (3+ years) in working with data related to Asset and Liability Management (ALM) Models
*highly skilled in SAS Enterprise Guide, SQL and Python
*the ability to detail and challenge data requirements
*knowledge of risk management in banking or financial institutions
*excellent verbal and written communications skills
*good stakeholder management skills
What we offer:
*we will give you the freedom to get the best out of yourself, work flexibly and have plenty of room to grow
*we help you to stay fit and healthy
*a job in pay scale 9 to 11, depending on your knowledge and experience
*a supplementary benefit budget of 11% with which you can buy flexible fringe benefits
*a personal development budget of โฌ 1,000 a year
*an annual public transport season ticket
*a generous pension scheme