Senior Associate Data Scientist

JPMorgan Chase & Co.; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Scientist Senior Associate in the Payments Data & Analytics team. You will partner with product teams to deliver data-driven insights and AI-driven solutions across FX and Supply Chain Finance, shaping product strategy and client outcomes.

You will design end-to-end analytics, validate data, and collaborate with engineering to deploy scalable AI-enabled analytics across Databricks and cloud environments. Strong Python/SQL, and GenAI experience are required.

Qualifications

• Bachelor’s degree in a quantitative field with 3+ years of data analytics experience or an advanced degree with 2+ years.

Responsibilities

• Design, build, and optimize end-to-end analytics and models to power data-driven solutions.
• Drive quality across products including validation checks and anomaly detection at the data layer.
• Collaborate with data engineering to implement data-driven products efficiently in cloud environments.
• Develop analytical models enabling dynamic payment execution and analytics for product strategy.
• Perform exploratory statistics and data mining to uncover trends and opportunities.
• Leverage LLMs and agentic AI techniques to prototype and deploy generative AI capabilities for analytics workflows.
• Architect and own scalable AI model integration frameworks across applications; mentor juniors.
• Monitor AI model performance and implement updates to maintain relevance.
• Collaborate with FX product teams to translate business needs into analytical problem statements.

Skills

Python

SQL

GenAI

LLMs

Data Modeling

Analytics Communication

Education

Bachelor's degree in quantitative field

Tools

Databricks

AWS

Spark

Job description

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 partnerclosely with product teamsacross ourglobal payments organizationto deliver data-driven insightsand algorithmsacross domains like Foreign Exchange (FX)and Supply Chain Finance. You willcontribute tothenext generation ofPayments and Treasury Servicesproducts, drawing on a blend of consulting, data science, andapassion forhow we do things better withGenAI. Youwillwork onpayments 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 forsomeone that wants todrive innovativeproductscombininga deep interest inbanking and payments,AIanddata science.

Job Responsibilities

• 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 productsincluding 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 ensureaccuracy,cost-discipline, andefficiencyacrossDatabricks/cloud environments.
• Develop andmaintainanalytical modelsenablingdynamicpayment executionandanalytics solutionsinforming ourproduct strategyand clientengagement.
• Perform exploratory statistics and data miningacross 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,identifyareas 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.

Required Qualifications, Capabilities, and Skills

• 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.
• Proficiencyin 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 collaborating effectively across teams,maintaininghigh accountability for deliverables and timelines.

Preferred Qualifications, Capabilities, and Skills

• Knowledge& experienceofPaymentsincluding familiarity withpayment execution, currency conversion mechanics, cross-border payment flows, and multi-currency settlement processes.
• Familiarity with AWS and Databricks for data management and analysis.
• Experience building and deploying AI agents and iterating designs to enhance functionality and user experience.
• Awareness of big data technologies (e.g., Hive, Hadoop, Spark) and distributed computing concepts.
• M.S. degree or equivalent in a quantitative discipline.