Product Data Analytics - Senior Associate

JPMorgan Chase & Co. • Plano, TX

1d

About The Position

We are seeking a talented, ambitious Associate with a passion for
data analytics
and machine learning
to join our team of professionals driving product insights
and recommendations to our front office Banking and Payments teams in Global
Banking.

As an Associate within our organization, you will be directly accountable for
building and maintaining powerful data models and
agentic (LLM-enabled)
solutions
that enable JPMorganChase global bankers to identify new opportunities
for their clients and prospects and win new business. You will work across a
team of business representatives, product managers, and data scientists to
harness JPMorganChase’s vast internal and external data sources to design and
implement advanced analytics and AI/ML models—delivering an always-on feed of
insights and client analytics that drive increased revenues, time savings, and
improved client outcomes. You will
design and build solutions directly with end
users, and when a solution is ready to be deployed, you will partner with
our
data engineering, applied ML, and MLOps
teams to productionize, monitor, and
scale it.

Requirements

• Advanced SQL and/or Python skills, with experience launching analytics and/or AI/ML models and features into production
• Experience working with AWS platform/programming tools such as Databricks (or similar distributed data processing platforms)
• Experience with feature engineering, model evaluation, and production monitoring (e.g., drift, performance, and data quality)
• Familiarity with LLM/RAG patterns and agentic workflows, including practical evaluation approaches
• Experience in financial services, big data, technology, or relevant start up environment
• Bachelor’s or master’s degree in business/data analytics, math, statistics, engineering, or a related field
• Business acumen to effectively work with non-technical business partners and leaders; ability to translate business needs into data/ML solutions

Responsibilities

• Maintain and enhance an existing suite of models that drive live insights and product recommendations to bankers
• Design, build, and maintain analytics data products (reliable datasets, attributes, and metrics) that power ML models and banker-facing insights
• Create ML/SQL models from payments data to identify product usage behaviors, competitor/supplier trends, and key events
• Build agentic (LLM-enabled) workflows on top of our data ecosystem to help our banking teams act on insights efficiently and consistently
• Manage product performance and model quality metrics (product adoption, influenced meetings, new sales, and model performance over time)
• Participate in user feedback sessions to engage with the business on enhancements, validate prototypes, and generate new ideas
• Partner with tech engineering, data engineering, applied ML, and MLOps teams to plan, prioritize, deploy, and monitor models and agents into production

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees