Head Trader Cross Asset Execution, Quantitative Strategies

Madison-Davis

New York, NY

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JOB DETAILS

SALARY

SKILLS

Algorithms, Application Programming Interface (API), Asset Management, Benchmarking, Cost Analysis, Derivatives, Futures, Pricing, Product Flow, Python Programming/Scripting Language, Quality Management, Quantitative Research, Risk, Strategic Planning, Swap Market, Test Plan/Schedule, Trading/Stockbroking

LOCATION

New York, NY

POSTED

30 days ago

Title: Head Trader Cross Asset Execution, Quantitative Strategies

Office Status: Hybrid New York, NY

Base Salary: Up to $260k + discretionary bonus

ABOUT THE ROLE

This is a Head Trader opportunity at a New York-based quantitative asset manager with approximately $18B in AUM. The role offers end-to-end ownership of the cross-asset trade execution function spanning global futures, options, FX, and LME commodities with a primary focus on execution quality, market impact minimization, and continuous enhancement of internal trading infrastructure. This is not a quantitative research or algo-building role;the quant research team handles strategy development. The ideal candidate is an experienced execution trader who combines deep listed derivatives expertise with strong Python proficiency and a process-oriented, ownership-driven mindset.

RESPONSIBILITIES

Lead and oversee the firm's internal trade execution platform across global futures, futures options, spot FX, and LME commodity markets
Execute approximately 100 200 trades per day across cross-asset strategies with a focus on minimizing market impact and optimizing arrival price versus internal benchmarks
Develop and enhance automated trade lifecycle processes using Python;implement trading schemas and logic to improve execution quality
Demonstrate deep understanding of market microstructure, exchange pricing mechanisms, FCM execution algorithms, and off-the-shelf algo offerings including TWAP, VWAP, POV, and arrival algorithms
Conduct transaction cost analysis and post-trade analytics;enhance pre-trade simulations to test execution hypotheses
Manage on-swap trading with counterparties including custom cross-asset baskets in TRS format and synthetic risk premia index execution
Work closely with third-party vendors to design and build reporting and API access for data, risk, and post-trade analytics
Collaborate with the Operations team to streamline post-trade processing and reporting workflows
Partner with the quantitative investment team to enhance internal strategies and maintain counterparty relationships across the street
Assist in design, development, and testing of internal execution platform enhancements to extend capacity and product flow

About the Company

Madison-Davis

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