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$121,124–$202,120.
Based on 240 similar postings.
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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
JOB TITLE: Quantitative Trading & Research - Market Microstructure & High-Frequency - Associate
The Quantitative Trading & Research group's AI Market Lab is seeking an Associate to conduct research on electronic market behavior at fine time scales. You will develop robust, deployable systematic strategies by framing problems, building measurement and simulation machinery, and running ablation studies. Your daily work involves analyzing high-frequency Level 2, 3, and 4 order-book data to identify predictive structures. You will develop alpha signals based on order flow, queue dynamics, and price formation while designing market-making and risk-taking strategies. Key responsibilities include modeling latency, fees, and market impact. Required skills include an advanced degree in a quantitative discipline, Python proficiency, and C++ knowledge. You must demonstrate expertise in market microstructure, matching engines, and systematic execution within live trading environments.
Analyze high-frequency Level 2, 3, and 4 order-book data to identify predictive structures and trading opportunities.
Develop alpha signals based on order flow, liquidity, queue dynamics, and price formation.
Design and implement market-making and risk-taking strategies including pricing, order placement, and inventory control.
Build research and simulation methodologies that incorporate latency, fees, market impact, and adverse selection.
Optimize strategy performance across signal generation, portfolio sizing, execution, and intraday risk management.
Move strategies into production by working with technology partners and analyzing live performance markouts.
Conduct rigorous ablation studies to separate economically meaningful effects from overfitting and regime-specific artifacts.
What we're looking for
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 including order types, matching engines, queue priority, microstructure invariants, liquidity formation, and market impact.
Evidence of contributing to strategies used in live markets with an understanding of the research-to-production workflow.
Strong programming and data-analysis skills in Python.
Proficiency in C++ or another high-performance language (preferred).
Demonstrated rigor in experimental design to separate meaningful effects from overfitting, leakage, and regime-specific artifacts.
Experience independently owning a strategy, managing a trading book, or leading a quantitative research workstream (preferred).
C++
Python
ML Infrastructure
Low-Latency Engineering
Distributed Systems
PyTorch
JAX
CUDA
Kubernetes
Kafka
Spark
Ray
Linux Performance Engineering
order-management systems
market-data normalization
Backtesting
model-serving
GPU Clusters
Lock-free Programming
C++
Java
Quantitative Research
Backtesting
Data Analysis
Low-latency Systems
Automated Trading Systems
Statistics
Probability
Production Code
FICC
Credit Market-making
Fixed Income
CDS Indices