Job DescriptionJob DescriptionThe Quantitative Trading & Research (QTR) group is responsible for systematic trading across FX, Rates, Commodities, Credit, Equity and a wide range of markets. Within QTR, AI Market Lab brings together quantitative research, modern artificial intelligence, market microstructure, and high-performance engineering to develop the next generation of electronic trading capabilities. Our work spans signal research, pricing, market making, execution, portfolio construction, risk management, and the production systems that support them. We have positions opened globally across New York, London, Hong Kong, and Singapore.
Job SummaryAs an Associate or Vice President in the QTR Team, you will join as an
AI/ML quantitative researcher and bring hands-on experience
pre-training large foundation models from scratch. You will lead research on building Transformer-based and time-series foundation models over large-scale market datasets, and develop the methods needed to make them robust, transferable, and measurable across instruments and regimes.
This role is designed for someone who wants to do
deep research with real constraints-where questions like scaling laws, data efficiency, and robustness are not academic footnotes, but the core of the agenda.
Job Responsibilities - Pre-train Transformer-based and time-series foundation models from scratch using large-scale market, order-book, transaction, and cross-asset datasets.
- Develop data representations, tokenization schemes, self-supervised objectives, model architectures, and distributed training recipes for financial time series.
- Fine-tune and post-train foundation models for alpha generation, pricing, market making, execution, and risk-management tasks.
- Study scaling laws, transfer across instruments and asset classes, regime robustness, data efficiency, and the trade-offs among model quality, inference cost, and latency.
- Design evaluation protocols that connect pre-training metrics to economically meaningful outcomes, including out-of-sample prediction, simulated trading, transaction costs, capacity, and live markouts.
- Build reusable training, checkpointing, evaluation, and model-serving components with ML infrastructure engineers.
Required Qualifications - Advanced degree (Master's, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field.
- Demonstrated experience pre-training a large model from scratch (Transformer/LLM/multimodal/time-series). Experience limited to API usage or prompt engineering is not sufficient.
- Experience building large-scale data pipelines and distributed training systems using PyTorch, JAX, or equivalent frameworks.
- Deep knowledge of large-model training and evaluation: optimization, parallelism, mixed precision, checkpointing, experiment design, ablations, and benchmarking.
- Evidence of research/technical quality through successful large-model training, high-impact research, open-source systems, or production deployment.
Preferred Qualifications - Experience with fine-tuning/post-training for forecasting, ranking, decision-making, or structured prediction.
- Prior work on time-series foundation models, limit-order-book modeling, multimodal market data, or cross-asset transfer learning.
- Experience in quantitative trading, HFT, electronic market making, or systematic investing-especially with models deployed to live trading.
- Publications at leading ML venues and/or substantial contributions to large-scale model-training systems.
About UsJPMorganChase, 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
About the TeamJ.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
