Quantitative Research - Payments - Associate

JPMorgan Chase • New York, NY

404d • $135,000 - $200,000

About The Position

As an Associate in Quantitative Research - Payments at JPMorgan Chase, you will be part of a new team focused on optimizing Net Interest Income and client pricing through data analytics, time series analysis, and machine learning. This role involves creating a globally consistent deposit and pricing toolset to support decision-making within the Corporate Investment Bank Payments team, which generates significant revenue and manages substantial cash deposits globally.

Requirements

• Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.
• Strong desire to work with data and comfort in handling large datasets and building efficient data and Machine Learning pipelines.
• Experience in writing production quality code and familiarity with testing and source control.
• Experience in data analytics using open-source Python packages (pandas/numpy/scikit-learn/tensorflow).
• Strong communication skills (both verbal and written) and ability to present findings to a non-technical audience.
• Strong intellectual curiosity and interest in understanding how a bank operates.

Nice To Haves

• Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub.
• Hands-on experience in solving sequential decision making problems.
• Knowledge/Experience with cloud based infrastructure.
• Experience in building scalable machine learning models.

Responsibilities

• Reconcile data sources and build data pipelines to form a comprehensive data set fit for modelling and visualization.
• 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.

Benefits

• Competitive salary ranging from $135,000 to $200,000 per year.
• Opportunities for professional development and career growth.
• Diversity and inclusion initiatives within the workplace.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree