Electronic Trading Services
Job Description
One of the world's leading global multi-strategy investment firms is seeking an experienced Systematic Trader to join the firms central liquidity team in NY. The ideal candidate is a highly analytical and market-structure-savvy professional who can manage Algorithmic Performance and Broker Relations.
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Job Description:
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In this role, you will work directly alongside the Global Head of Short Term Forecasting and Liquidity to ensure the internal investment teams receive best-in-class execution across global equity and macro markets. You will bridge the gap between the internal quantitative research teams and the external sell-side broker ecosystem, using data-driven insights to maximize alpha retention, optimizing the firms Algo Wheel setup, and manage strategic broker partnerships.
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Key Responsibilities:
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- Execution Analytics & Performance Monitoring: Leverage advanced Transaction Cost Analysis (TCA) frameworks to benchmark and monitor the performance of external broker algorithms (VWAP, TWAP, Implementation Shortfall, Dark Pools).
- Algo Wheel Optimization: Design, implement, and adjust the firm’s automated Algo Wheel configurations to reward top-performing broker paths dynamically and scientifically.
- Strategic Broker Relations: Act as the primary technical point of contact for sell-side algorithmic trading desks. Review experimental features, conduct regular execution performance reviews, and communicate the firms unique liquidity needs.
- Microstructure & Liquidity Research: Partner with the Short-Term Forecasting team to study market microstructures, order book dynamics, and localized liquidity anomalies to fine-tune pre- and post-trade execution models.
- Cost Optimization: Track FIX protocol telemetry (e.g., specific execution identifiers and tags) to identify routing inefficiencies, toxic liquidity venues, and signaling leakage to aggressively lower the firm’s transaction footprint.
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Requirements:
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- 7-10 years of experience within an algorithmic execution role at a quantitative hedge fund, asset manager, or a top-tier sell-side electronic trading desk.
- Strong programming skills in Python (Pandas, NumPy) and SQL for querying massive, high-frequency tick data sets. Familiarity with Java execution architecture or the FIX protocol is highly advantageous.
- Deep understanding of quantitative execution strategies, dark pool routing logic, market-impact models, and the regulatory landscapes governing best execution (such as MiFID II / SEC rules).
- Exceptional capacity to translate dense, quantitative TCA data into actionable operational guidance for portfolio managers and crisp performance feedback for external brokers.
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To discuss this role in further detail please get in touch and send your resume to:
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