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Job description
A Credit Quantitative Analyst role for a discretionary long/short European credit team in London, focusing on developing innovative data analysis tools and research to identify market trends and potential alpha-generating opportunities in credit markets.
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 relative value (RV) screens and models to support strategy research, create custom portfolio tracking and alerting systems, and design data visualization tools and dashboards for market analysis and portfolio management support.
Requires 3-5 years of relevant financial services experience in quant research or development, preferably in credit or fixed income. Candidates must demonstrate strong proficiency in Python programming, data manipulation libraries, database programming languages like SQL, and market data sources including Bloomberg. Experience with AWS/cloud deployment, Dash/Plotly visualization software, and handling large datasets is crucial. Excellent analytical, problem-solving, and critical-thinking skills with keen attention to detail are essential.
Point72 offers an opportunity to work with a leading global alternative investment firm led by Steven A. Cohen, providing a platform for professional growth and development. The firm aims to attract top talent by cultivating an investor-led culture and committing to long-term employee growth. Successful candidates will join a dynamic team that seeks to deliver superior returns through fundamental and systematic investing strategies across various asset classes and geographies.
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