Duties: Research, implement and back-test systematic trading and risk management strategies and signals. Manipulate large amount of historical and cross-sectional market data. Find and quantify patterns in market and trade data. Investigate and support the running of real time trading strategies. Perform intraday price discovery. Identify sources of risk in portfolios. Derive hedging and risk allocation solutions to extract the best values of client flows. Work closely with technology and quantitative research teams to improve models, tools and systems used by the desk.
Minimum education and experience required: Master’s degree in Financial Engineering, Applied Mathematics, or related field of study plus 3 years of experience in the job offered or as Algorithmic Trader, Quantitative Analyst, Data Analyst, or related occupation. The employer will alternatively accept a Bachelor’s degree in Financial Engineering, Applied Mathematics, or related field of study plus 5 years of experience in the job offered or as Algorithmic Trader, Quantitative Analyst, Data Analyst, or related occupation.
Skills Required: Requires experience in the following: Quantitative analytics; Statistical modeling; Analytics library implementation; Programming skills such as Python or C++ or C#; Database systems such as KDB or SQL; Analytical and data handling skills; Interest rates derivatives or fixed income markets in general; and Trading concepts and terminology.
Job Location: 383 Madison Ave., New York, NY 10179.
Full-Time. Salary: $225,000.00-$275,000.00 per year.