Senior Quant Research VP - HFT & Market Microstructure

Next Frontier Capital; Worcester (MA); On-site; USD 150,000 - 190,000; Full time

Job summary

J.P. Morgan is seeking a quantitative researcher to drive research on market microstructure and high‑frequency trading within the AI Market Lab and QTR group.

The role focuses on building measurable models, simulation tooling, and deployable strategies across venues and regimes. The ideal candidate will frame problems, run ablations, and translate insights into latency-aware designs, working with traders, developers, and exchanges to productionize research while maintaining rigorous evaluation

Qualifications

• Advanced degree or equivalent practical experience in a quantitative field.
• 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 understanding the research-to-production workflow and 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—distinguish meaningful effects from overfitting and regime artifacts.

Responsibilities

• Analyze high-frequency market data, including Level 2 and Level 3/4 data, to identify predictive structure and opportunities.
• Develop alpha signals and trading features from order flow, liquidity, queue dynamics, price formation, cross-venue behavior, and short-horizon responses.
• Design, backtest, and implement market-making and risk-taking strategies with pricing, placement, cancellation, and inventory control.
• Develop realistic research and simulation methodologies incorporating latency, fees, rebates, market impact, and operational constraints.
• Optimize strategy performance across signal generation, sizing, execution, and intraday risk management.
• Collaborate with traders, quantitative developers, technology partners, exchanges, and ECNs to move strategies into production.

Skills

Python

C++

Data analysis

Education

Advanced degree or equivalent in a quantitative field

Job description

J.P. Morgan is seeking a quantitative researcher to drive research on market microstructure and high‑frequency trading within the AI Market Lab and QTR group.

The role focuses on building measurable models, simulation tooling, and deployable strategies across venues and regimes. The ideal candidate will frame problems, run ablations, and translate insights into latency-aware designs, working with traders, developers, and exchanges to productionize research while maintaining rigorous evaluation