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.
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