Job Title: Execution Quantitative Researcher - FX/Futures
Location: New York (4 days in-office, Monday- Thursday)
Compensation: Total compensation ~ $250K
Firm: $14B AUM Hedge Fund
Overview:
A leading $14B AUM hedge fund is seeking an Execution Quantitative Researcher to join its New York City office. The ideal candidate will have 2-3 years of experience in algorithmic execution for FX, futures, or equities, with a strong preference for candidates specializing in FX or futures execution. This role focuses on optimizing execution strategies and analyzing trading flows, making it integral to the fund's trading operations.
Key Responsibilities:
• Develop, refine, and optimize algorithmic execution strategies for FX and/or futures markets.
• Analyze and monitor trading flow to identify patterns and areas for improvement.
• Build and enhance impact cost models and other analytics to assess execution costs.
• Collaborate closely with portfolio managers, traders, and other researchers to integrate execution insights into trading strategies.
• Maintain a focus on ensuring minimal slippage and optimal execution across targeted asset classes. Qualifications:
• 2-3 years of experience in algorithmic execution for FX, futures, or equities.
• Strong understanding of execution cost modeling and market impact analysis.
• Deep familiarity with FX or futures markets is strongly preferred, as equities capabilities are well-developed within the team.
• Proficiency in quantitative programming and statistical analysis, with skills in Python, R, or similar languages.
• Ability to work effectively in a collaborative and fast-paced hedge fund environment.
• Master's, or PhD in a quantitative discipline such as mathematics, computer science, engineering, or finance.
Benefits and Compensation:
• Highly competitive compensation with a total package of approximately $250K.
• Opportunity to work with a collaborative and high-performing team at one of the industry's leading hedge funds.
• Flexible hybrid schedule with 4 days in-office per week.