High-Frequency Market Microstructure Research Associate

JPMorgan Chase & Co.; City of Rochester (NY); Sur place; USD 150 000 - 230 000; Plein temps

Résumé du poste

JPMorgan Chase & Co. is seeking an Associate or Vice President for its Quantitative Trading & Research AI Market Lab. The role focuses on market microstructure and high- to mid-frequency trading, translating research insights into deployable strategies and latency-aware designs.

You will frame problems, build measurement and simulation machinery, run ablations, and develop models that hold up across venues and regimes with live trading systems experience highly valued.

Qualifications

• Advanced degree or equivalent practical experience in mathematics, statistics, physics, computer science, engineering, financial engineering, or a related quantitative discipline.
• 2+ years of full-time quantitative research experience in high-frequency/medium-frequency trading, electronic market making, or systematic execution.
• Strong understanding of electronic market mechanics: order types, matching engines, queue priority, microstructure invariants, liquidity formation, and market impact/adverse selection.
• Evidence of contributing to strategies used in live markets, including a clear understanding of the research-to-production workflow and sources of performance degradation in deployment.
• Strong programming and data-analysis skills in Python; proficiency in C++ or another high-performance language is highly desirable.
• Demonstrated rigor in experimental design and evaluation—ability to separate economically meaningful effects from overfitting, leakage, optimistic fills, and regime-specific artifacts

Responsabilités

• Analyze high-frequency market data, including Level 2 and, where available, Level 3 or Level 4 order-book data, to identify predictive structure and trading opportunities.
• Develop alpha signals and trading features based on order flow, liquidity, queue dynamics, price formation, cross-venue behavior, and short-horizon market response.
• Design, backtest, and implement market-making and risk-taking strategies, including pricing, order placement, cancellation, queue-position management, fill-probability estimation, and inventory control.
• Develop realistic research and simulation methodologies incorporating latency, fees, rebates, market impact, adverse selection, and operational constraints.
• Optimize strategy performance across signal generation, portfolio or position sizing, execution, and intraday risk management.
• Work closely with traders, quantitative developers, technology partners, exchanges, and ECNs to move strategies into production and improve them using live performance and markout analysis

Connaissances

Python

C++

Quantitative analysis

Data analysis

Formation

Advanced degree in a relevant quantitative field

Description du poste

JPMorgan Chase & Co. is seeking an Associate or Vice President for its Quantitative Trading & Research AI Market Lab. The role focuses on market microstructure and high- to mid-frequency trading, translating research insights into deployable strategies and latency-aware designs.

You will frame problems, build measurement and simulation machinery, run ablations, and develop models that hold up across venues and regimes with live trading systems experience highly valued.