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.
Job Description:
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.
Key Responsibilities:
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.
Requirements:
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. To discuss this role in further detail please get in touch and send your resume to:elaine@pointonetalent.comwww.pointonetalent.com
