Quantitative Analyst, Electronic Trading at KeyBank · New York…

Quantitative Analyst, Electronic Trading Location: New York, NY Location: 1301 Avenue of the Americas, New York New York Job Summary The Quantitative Analyst will sit within the electronic trading function and will be responsible for research, development, and implementation of quantitative models and algorithmic enhancements that improve execution quality. 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. Job Description Essential Job Functions Research, design, and implement enhancements to trade scheduling, order placement, and order routing logic used across equity trading algorithms, with direct responsibility for taking ideas from analysis into production. Develop and deploy new execution algorithms and quantitative approaches, including machine‑learning techniques, to improve execution quality across varying market conditions and client objectives. Analyze large, complex datasets (market data, orders, executions) to evaluate algorithm performance, identify drivers of outperformance or underperformance, and develop signals and diagnostics that guide continuous improvement. Build, maintain, and enhance post‑trade performance and market‑impact models, incorporating realized market conditions and separating algorithm, broker, and market effects in order to produce actionable insights. Design and maintain momentum‑ and regime‑aware execution logic, including determining when orders should utilize different execution styles (e.g., Implementation Shortfall vs. VWAP) based on expected momentum or reversion dynamics. Perform tactic‑level and venue‑level attribution, isolating the impact of execution tactics and venue selection on performance, and supporting curation decisions with statistically sound analysis rather than topline A/B results alone. Evaluate the impact of algorithm changes and parameter updates using causal inference techniques (e.g., matching, synthetic control, or propensity‑based approaches) to properly measure treatment effects and avoid biased conclusions. Develop and maintain simulation frameworks used to test algorithm behavior, allocation logic, and performance sensitivity across different market regimes prior to rollout. Contribute to and evolve allocation and optimization frameworks (including exploration vs. exploitation concepts such as bandit‑style approaches) that dynamically adapt routing and strategy usage based on observed performance. Implement bespoke algorithms and analytics in response to client and desk needs, balancing research rigor with practical execution requirements. Support internal and external stakeholders by translating quantitative findings into clear, client‑ready explanations, performance reviews, and written materials, including white papers or technical summaries when appropriate. Operate effectively in a fast‑paced trading environment, managing multiple concurrent initiatives while maintaining strong controls, documentation, and analytical discipline. Required Qualifications Strong understanding of US equity trading and market microstructure. Knowledge of algorithmic trading concepts (order books, volume forecasting, impact 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. Experience with Google Cloud Platform a plus. Proven ability to communicate clearly (verbal/written), including client-facing discussions and contributing to research write-ups/white papers. Ability to manage multiple concurrent priorities in a fast-paced environment. Demonstrated commitment to a diverse workforce and inclusive collaboration. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 05/31/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. #LI-Hybrid