The role involves building tools for data analysis, developing RV screens, creating portfolio alert systems, and visualizing market data for credit markets.
ROLE:
Credit Quant analyst for a discretionary long/short European credit team based in London.
RESPONSIBILITIES:
- Build innovative tools and conduct in-depth data analysis and research to identify market trends, anomalies, and potential alpha-generating opportunities in credit markets
- Develop systematic RV screens and models to assist with strategy research
- Develop custom portfolio tracking/alerting systems
- Develop data visualization tools and dashboards for market analysis and to support the PM
REQUIREMENTS:
- 3-5 years of relevant financial services experience in quant research or development on a sell-side trading desk or buyside firm, preferably in credit or fixed income
- Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn)
- Proficiency with database programming languages including SQL
- Strong knowledge of MS Excel
- Experience dealing with large datasets
- Experience with AWS/cloud deployment
- Experience with market data sources including Bloomberg
- Experience with Dash/Plotly or other visualisation software
- Excellent analytical, problem-solving, and critical-thinking skills, with a keen attention to detail
- Commitment to the highest ethical standards
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
Top Skills
AWS
Bloomberg
Dash
Excel
Numpy
Pandas
Plotly
Python
Scikit-Learn
Scipy
SQL
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