Selby Jennings is working with one of the most successful hedge funds in the world. This firm has stood the test of time for decades bringing consistent, high returns to their investors. They have been able to accomplish this by leveraging state-of-the-art technology, hiring exceptional engineers, and driving a highly collaborative culture.
Currently, they are seeking a quantitative software engineer to join one of their most high-performing teams. Essentially, this team is like a startup within the firm and tackles the business objectives of the highest priority. This candidate must come from a quantitative finance background as they will build and scale one of the largest equities portfolios in the market by optimizing various aspects of the investment, risk management, portfolio construction, and trade execution lifecycle.
Qualifications & Requirements:
- 7-12 years of professional experience
- 5+ years of Python programming experience including scientific libraries (Pandas, NumPy, SciPy, etc)
- Experience with a least two languages other than Python
- Analytical skills - Ability to troubleshoot and logically assess problems and determine solutions
- Degree in Computer Science, or other related fields (MS or PhD is a plus!)
Great-to-haves:
- Startup experience
- Big tech experience using machine learning in a recommendations team
- Basic knowledge of statistics
- Experience with financial modeling and pricing
- Experience acquiring, analyzing, and organizing time-series, financial data, and fundamental data
