Head of Trading and Operations
Trexquant
Head of Trading and Operations
Trexquant
Quantitative trading via ML models
Trexquant Investment · New York, United States (Hybrid) · Full-time · Posted 2026-10-28
Workplace: hybrid
Department: Technology
Trexquant is a quantitative investment management firm specializing in systematic trading across global financial markets. We leverage advanced technology, data, and AI-driven research to develop and execute investment strategies across multiple asset classes.
We are seeking an experienced leader to oversee the firm’s daily trading operations across global markets. The primary responsibility is to ensure accurate trading and settlement, keep operational processes running reliably, and monitor execution quality as the firm grows in complexity.
Bachelor's, Master’s, or Ph.D. degrees in Mathematics, Computer Science, or other related STEM fields.
8+ years of experience in trading operations, middle office, or related functions at a quantitative hedge fund or systematic proprietary trading firm
Experience scaling trading operations across multiple asset classes is highly desirable.
Hands-on, detail-oriented, and proactive, with a strong sense of ownership and accountability.
Hands-on leader who takes ownership of ensuring that everything works
The base salary for this role is $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer
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Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.
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