Fidelity's high yield team managing over $100B of client assets needs innovative tools to support investment decisions and trading, and is looking for a quantitative software engineer to create new tools
Requirements
- Experience in both financial services and software development in Python
- Experience with Private Credit, CLOs, High Yield Loans, Bonds and Real Estate a plus
- Robust data analyst comfortable with large datasets, writing queries in SQL and working with investment analytics and statistics
- Knowledge of how to process, manipulate and analyze data using Python, JavaScript and Excel VBA
Responsibilities
- Supporting our investment professionals in maximizing their effectiveness as they research markets, make investment decisions and trade
- Automating manual processes to save investment professionals time
- Supporting new product development with rapid turnaround technical solutions and data analysis to support their rollout
- Analyzing our investment and operational data and producing oversight reporting for our divisional leadership
Other
- Bachelor’s degree in Computer Science or Finance or equivalent work experience
- CFA or commitment to work towards completing the CFA designation
- Collaborative and team minded with the ability to mentor and develop younger members of the team
- Must be able to work onsite every other week (all business days, M-F) in a Fidelity office
