Senior Associate Data Scientist

Deliver the next generation of Payments products that combine JPMorgan Payments global payment network and data science as part of our Data & Analytics team. Apply advanced analytical and AI/MLexpertiseto deliver impactful, client-focused solutions.

As a Data Scientist Senior Associate within the Payments Data & Analytics team, you will partner closely with product teams across ourglobal payments organization to deliver data-driven insights and algorithms across domains like Foreign Exchange (FX) and Supply Chain Finance. You will contribute tothenext generation of Payments and Treasury Services products, drawing on a blend of consulting, data science, andapassion forhow we do things better with

GenAI. Youwillwork on payments domains likeFX — including currency conversion modeling, cross-border payment pattern analysis, FX rate optimization, and client behavior analytics — to drive new product development, GTM strategy, andclient outcomes. You will collaborate with cross-functional partners across product, engineering, sales, and risk to define problems, scope solutions, and deliver high-quality analytical models. The team supports both internal and external payment intelligence applications, as well as custom client analytics requests on an ad-hoc basis.

This roleis ideal for someone that wants todrive innovativeproductscombininga deep interest inbanking and payments,AIanddata science.

• Design, build, and optimize end-to-end analytics and models to power data-driven solutions, evaluating and improving performance by identifying bottlenecks in throughput, latency, and resource utilization
• Drive and improvequalityacross products including validation checks, reconciliation logic, and anomaly detection at the data layer, to ensure the integrity of analytical outputs used for client-facing products and internal decision-making.
• Collaborate with data engineering teams toimplementdata-drivenproductsefficientlytooptimizeperformanceand ensure accuracy,cost-discipline, andefficiencyacross
  
  Databricks/cloud environments.
• Develop andmaintainanalytical modelsenablingdynamicpayment executionandanalytics solutions informing our product strategy and client engagement.
• Perform exploratory statistics and data mining across Payments’ data assetsto uncover trends, anomalies, and opportunities for product improvements.
• Leverage experience with Large Language Models (LLMs) and agentic AI techniques to prototype and deploy generative AI capabilities that enhance analytics workflows. Design and refine prompts to improve AI model performance and align outputs with business goals.
• Architect and own scalable frameworks for AI model integration across business applications, mentoring junior team members on implementation ofbest practices and ensuring solutions can adapt and expand as the business evolves.
• Monitor AI model performance,identify areas for enhancement, and implement updates tomaintainquality and relevance.
• Partner with the FX product team and key stakeholders to translate business needs into well-scoped analytical problem statements and execution plans, with emphasis on FX domain nuances such as multi-currency settlement, corridor-level economics, and regulatory considerations.
• Collaborate across product, engineering, risk, and operations teams on agile squads to deliver comprehensive, data-driven solutions with tangible commercial impact for clients and customers.
• Drive data science and analytics strategies, communicating findings, obstacles, and recommendations to stakeholders to accelerate delivery to market.

• Bachelor's degree in a relevant quantitative field (e.g., STEM, Economics, Finance) and 3+ years of data analytics or data science experience, or an advanced degree and 2+ years of experience.
• Experience designing and building data pipelines for analytical workloads, including data ingestion, transformation, and orchestration using Python, SQL, and cloud-based platforms.
• Experience with LLMs and agentic AI techniques, including prompt engineering, multi-agent workflows, and GenAI application prototyping.
• Proficiency in Python and SQL for data processing and analysis.
• Strong problem-solving, critical thinking, and communication skills, with the ability to convey complex information to both technical and non-technical audiences.
• Intellectual curiosity for solving business problems and an aptitude for learning new theory and technology.
• Ability to drive work forward independently while…