Job Description

JPMorganChase is forming a Mid-Frequency Strategies team focused on the research, development, and execution of systematic trading strategies. The group operates at the intersection of quantitative research and trading, developing strategies that span alpha generation, portfolio construction, risk management, and execution infrastructure — with statistical analysis and machine learning at the core. You will work alongside experienced traders, researchers, and technologists in a collaborative environment where research directly drives live trading decisions.

As a Vice President within the Mid-Frequency Trading Strategies team, you will play a central role in designing and implementing JPMorgan Chase’s mid-frequency trading framework. You will be responsible for the full lifecycle of strategy development — from ideation and statistical

research through production deployment and ongoing performance monitoring. This is a highly quantitative role requiring deep expertise in statistical modelling, machine learning, and financial markets, and is suited to someone who thrives at the boundary of research and live trading.

Job Responsibilities

• Improve the mid-frequency trading framework, including the architecture for signal generation, alpha combination, portfolio optimization, and execution logic, ensuring the platform is robust, scalable, and production-ready.
• Research and develop proprietary trading strategies using advanced statistical modelling and machine learning techniques, with a focus on identifying persistent, risk-adjusted alpha signals across relevant asset classes.
• Apply machine learning methodologies — including supervised and unsupervised learning, reinforcement learning, and time-series modelling — to extract predictive signals from large, complex datasets including market microstructure, alternative data, and macroeconomic indicators.
• Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
• Develop and maintain production-grade implementations of trading strategies and supporting infrastructure, working with technology partners to integrate models into the live trading environment.
• Monitor live strategy performance, carry out PnL attribution, identify regime changes, and continuously iterate on models to maintain and improve P&L generation.

Required Qualifications, Capabilities, and Skills

• Master's degree in a quantitative STEM discipline such as Statistics,
• Mathematics, Physics, Computer Science, or Financial Engineering
• Minimum 5 years of experience in quantitative trading, quantitative research, or systematic strategy development role, ideally within a prop trading environment, hedge fund, or sell-side systematic trading desk
• Demonstrable expertise in statistical modelling, including time-series analysis, factor modelling, Bayesian inference, and hypothesis testing in a financial markets context
• Strong machine learning proficiency, with hands-on experience applying ML techniques (e.g. gradient boosting, neural networks, regularization methods, dimensionality reduction) to financial prediction problems
• Strong Python programming skills, including experience with scientific computing libraries (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
• Strong analytical and problem-solving skills, with the ability to work independently and drive research from first principles

Preferred Qualifications, Capabilities, and Skills

• PhD in quantitative STEM discipline such as Statistics, Applied Mathematics,
• Physics, or Machine Learning, with a research track record demonstrating rigorous application of statistical or computational methods to complex, real-world problems
• 5+ years of hands-on experience in a proprietary trading environment — such as a systematic trading group, quantitative hedge fund, or prop trading desk, with direct ownership of or meaningful contribution to live strategies
• Proven track record in alpha research, including the full lifecycle of signal discovery: hypothesis generation, statistical validation, backtesting under realistic assumptions, and post-deployment performance attribution
• Strong command of machine learning techniques applied to financial prediction problems, with a demonstrated ability to critically assess model reliability, manage overfitting risk, and distinguish statistically significant signals from noise in low signal-to-noise environments
• Experienced in researching and developing mid-to-high frequency systematic strategies, with a nuanced understanding of how signal decay, turnover costs, and capacity constraints interact with strategy design at different frequency horizons
• Experience with cloud-based data and compute infrastructure, particularly AWS, for large-scale data processing, model training, and research pipeline automation

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans