Description

Deliver analytics data products & AI/ML solutions end-to-end: define KPIs, build pipelines, ensure quality, support MLOps & controls.

As an Analytics Solution Associate in Consumer & Community Banking, you will support the delivery of analytics data products and applied AI/ML solutions. You will contribute across the delivery lifecycle-problem definition, requirements, data engineering, basic model development, production support, and documentation-while partnering with Product, Technology, Data Governance, and Risk/Controls.

Job Responsibilities

• Support stakeholders in translating business needs into clear problem statements, KPIs, and success metrics (e.g., servicing insights, customer engagement, marketing measurement, forecasting, anomaly detection).
• Assist in maintaining delivery hygiene: action items, RAID logs, dependency tracking, and status updates.
• Build and enhance batch data pipelines (and support streaming where applicable) to produce curated, trusted datasets under guidance.
• Help develop analytics-ready layers (data marts/semantic views) with consistent metric definitions and documentation (data dictionary, lineage notes, runbooks).
• Implement and run data quality checks (tests, reconciliations, completeness/timeliness checks) and support monitoring/alerting and SLA tracking.
• Contribute to ML use cases (e.g., propensity/segmentation, next-best-action components, forecasting, anomaly detection, basic NLP for servicing insights) under senior oversight.
• Support feature engineering, model training, and evaluation, and document assumptions/limitations; follow guidance on leakage checks and bias/fairness considerations.
• Follow established MLOps practices: version control, reproducible runs, basic automated tests, monitoring inputs/outputs, and supporting retraining/rollback procedures.
• Adhere to security and data governance expectations (least-privilege access, sensitive data handling, retention, auditability).
• Produce required delivery and control artifacts (documentation, traceability, operational procedures) and support control reviews/audits.
• Apply SDLC practices: participate in code reviews, follow CI/CD patterns, support environment promotion, and assist with incident triage/root-cause analysis.

Required Qualifications, Capabilities, and Skills

• 4+ years (or equivalent) experience in data analytics, data engineering, or ML/AI delivery.
• Working proficiency in SQL and comfort with data modeling fundamentals (tables, joins, dimensional concepts).
• Hands-on experience building analyses and dashboards in Tableau, and working with data in Snowflake (e.g., querying, validating datasets, supporting curated views).
• Working proficiency in Python (or similar) for data processing and basic ML workflows.
• Exposure to modern data platforms (warehouse/lakehouse concepts) and orchestration tools.
• Basic understanding of the applied ML lifecycle (framing → build → deploy → monitor) and common evaluation metrics.
• Comfort operating in a controlled environment (change management, access controls, documentation expectations).
• Strong communication skills and ability to work effectively across teams with guidance.

Preferred Qualifications, Capabilities, and Skills

• Exposure to consumer banking/retail analytics domains (servicing, digital, customer insights).
• Familiarity with MLOps tooling (experiment tracking/model registry, automated pipelines, monitoring concepts).
• Exposure to NLP/GenAI use cases in a governed enterprise environment.
• Awareness of streaming/CDC/event-driven patterns for near-real-time analytics or detection use cases.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

\n Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.\n
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\n The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.\n