Quantitative Trading & Research - Securities Services - Associate

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, and other quantitative methods. In Securities Services, QTR applies cutting-edge AI/ML techniques to fundamentally transform the way we do business. Job Summary As an Associate in the Quantitative Trading & Research (QTR) Securities Services 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 Perform large-scale analysis on our proprietary dataset to solve problems never tackled before Test ideas, figure out what works, and write production code to make that idea work for the business Make real-world, commercial recommendations through effective presentations to various stakeholders Work closely with colleagues in Quantitative Research, Technology and the Chief Data and Analytics Office (CDAO) to drive the Securities Services 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 Experience in applying LLMs and/or deep learning methods to solve business problems. Experience in working with Cloud and/or HPC environments. Benefits 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 FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans #J-18808-Ljbffr TwinThread