J.P. Morgan is a leader in financial services, collaborating globally to deliver the best solutions and advice to meet our clients’ needs, anywhere in the world. We operate in 150 countries and hold leadership positions across our businesses. We have an exceptional team of employees who work hard to do the right thing for our clients and the firm every day. This is why we are the most respected financial institution in the world and why we can offer you an outstanding career.
Job summary:
As an Associate in the QR Securities Services team, you will support the Custody and Fund Services (Securities Services) business in tackling their most technically complex business problems. You will be part of the team that is helping to transform business practices through data science and other quantitative methods, where JP Morgan is a dominant player, handling trillions of dollars of client assets.
Quantitative Research (QR) is an expert group at JPMorgan specializing in statistical modelling, data analytics, and other quantitative methods. In Securities Services, QR applies cutting-edge AI/ML techniques to fundamentally transform the way we do business in securities services.
Job responsibilities:
- Perform large-scale analysis on our proprietary dataset to solve problems never tackled before.
- Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.
- Build models end-to-end, from prototype to full-scale production.
- Make real-world, commercial recommendations through effective presentations to various stakeholders.
- Leverage data visualization to communicate data insights and results.
- Document and test new/existing models in partnership with control groups.
- Work closely with colleagues in Quantitative Research, Technology, Product, Finance, and Pricing teams to drive the data strategy, pricing, and financial reporting across Securities Services.
- Provide ongoing desk support.
Required Qualifications, Capabilities, and Skills:
- You have advanced degree (PhD or MS) or equivalent in a quantitative field: Mathematics, Computer Science, Physics, Engineering, etc.
- You demonstrate strong technical skills in data manipulation, extraction, and analysis.
- You demonstrate robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals and application.
- You have experience in building models end-to-end, from prototype to full-scale production, utilizing ML/big data modelling techniques.
- You possess knowledge of basic financial/derivative instruments and their pricing.
- You demonstrate a knowledge of software design principles and development skills using one of C++, Python, R, Java, Scala.
- You have strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience.
Preferred Qualifications, Capabilities, and Skills:
- You have experience in applying LLMs and/or deep learning methods to solve business problems.
- You have experience in working with Cloud and/or HPC (High Performance Computing) environments.
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