Quantitative Trading & Research - Securities Services, Payments and CIB Treasury - Associate

JPMorgan Chase; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

On-site wellness centers

Job summary

JPMorganChase's Quantitative Trading & Research (QTR) team seeks an Associate/VP to tackle technically complex business problems, from leveraging LLMs to delivering ML applications at scale and handling large datasets using the firm's cloud capabilities.

You will partner with business leads to identify pain points, prototype solutions, and present results to stakeholders, driving data strategy and supporting revenue growth with quantitative methods.

Qualifications

• Advanced degree in a quantitative field (PhD or MS) required.
• Strong ML, statistics, and math fundamentals with practical application.
• Experience delivering end-to-end data science projects in Python.

Responsibilities

• Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.
• Build a scalable data architecture to handle large volumes of transaction data.
• Automate manual processes and build tools to optimize decision making and deposit management.
• Develop sequential decision-making tools to optimize net interest income under liquidity and balance sheet constraints.
• Drive projects end-to-end from brainstorming to model development.
• Present real-world, commercial recommendations to stakeholders with impact.
• Visualize data to communicate quantitative insights for business decisions.

Skills

Quantitative degree

ML & Stats

Python

Communication

Education

PhD/MS in quantitative field

Tools

Python

Job description

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization.

Job Summary

As an Associate/ Vice President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you.

Job responsibilities

• Work with business leads to develop AI/ML-driven analytics and automation that support their business goals
• Build up a scalable data architecture to handle the large volume of transaction data
• Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management
• Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints
• Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development
• Make real-world, commercial recommendations through effective presentations to various stakeholders
• Leverage data visualization to communicate quantitative insights to help business decision-making
• Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward

Required qualifications, capabilities, and skills

• Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc
• Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application
• Experience in tackling real world data science problems, end-to-end from prototype to production, using Python
• Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience
• Passion for learning, sharing knowledge, building collaborations, and getting things done

Preferred qualifications, capabilities, and skills

• Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub
• You demonstrate hands-on experience in solving sequential decision making problems
• Experience in applying LLMs and/or deep learning methods to solve business problems
• Experience in working with Cloud and/or HPC environments

ABOUT US

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 reasonab