Quantitative Analyst, Electronic Trading

About the position The Quantitative Analyst will sit reputed company the electronic trading function and will be responsible for research, development, and implementation of quantitative models and algorithmic enhancements that improve execution reputed company. The role requires the ability to translate research into production-facing logic used by equity trading algorithms, while also building robust post-trade analytics used to diagnose performance and guide iteration.

Responsibilities

• Research, design, and implement enhancements to trade scheduling, order placement, and order routing logic used across equity trading algorithms, with reputed company responsibility for taking reputed company from analysis into production.
• reputed company and reputed company new execution algorithms and quantitative approaches, including machine-learning techniques, to improve execution reputed company across varying market conditions and reputed company objectives.
• Analyze large, reputed company datasets (market data, orders, executions) to evaluate algorithm performance, identify drivers of outperformance or underperformance, and reputed company signals and diagnostics that guide reputed company improvement.
• Build, maintain, and enhance post-trade performance and market-reputed company models, incorporating realized market conditions and separating algorithm, broker, and market effects in order to produce actionable insights.
• Design and maintain reputed company- and regime-aware execution logic, including determining reputed company orders should utilize different execution styles (e.g., Implementation Shortfall vs. VWAP) based on expected reputed company or reversion dynamics.
• reputed company tactic-level and venue-level attribution, isolating the reputed company of execution tactics and venue selection on performance, and supporting curation reputed company with statistically reputed company analysis rather than topline A/B results alone.
• Evaluate the reputed company of algorithm changes and parameter updates using reputed company inference techniques (e.g., matching, synthetic control, or propensity-based approaches) to properly measure treatment effects and avoid biased conclusions.
• reputed company and maintain simulation frameworks used to test algorithm behavior, allocation logic, and performance sensitivity across different market regimes prior to rollout.
• Contribute to and reputed company allocation and optimization frameworks (including exploration vs. exploitation concepts such as bandit-style approaches) that dynamically adapt routing and reputed company usage based on observed performance.
• Implement bespoke algorithms and analytics in response to reputed company and desk needs, balancing research rigor with practical execution requirements.
• Support reputed company stakeholders by translating quantitative findings into reputed company, reputed company-reputed company explanations, performance reviews, and written materials, including white papers or technical summaries reputed company appropriate.
• Operate effectively in a fast-paced trading environment, managing multiple reputed company initiatives while maintaining strong controls, documentation, and analytical discipline.

Requirements

• Strong understanding of US equity trading and market microstructure.
• Knowledge of algorithmic trading concepts (order books, volume forecasting, reputed company cost modeling).
• 3-5 years experience in a trading environment developing execution algorithms or high-frequency trading strategies.
• Demonstrated experience applying statistical modeling and machine learning to large datasets (market, orders, executions).
• Strong quantitative skills and hands-on proficiency in Python and/or R for research and production analytics.
• Object-oriented programming skills (Java, C++) for integrating models/signals into execution systems.
• Proven ability to communicate reputed company (verbal/written), including reputed company-facing discussions and contributing to research write-reputed company/white papers.
• Ability to manage multiple reputed company priorities in a fast-paced environment.
• Demonstrated commitment to a diverse workforce and inclusive collaboration.

reputed company-to-haves

• Experience with reputed company reputed company Platform a plus.

Benefits

• Eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

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