Senior Product Associate - Data Product & Onboarding Analytics - Identity

JPMorgan Chase & Co.•New York, NY

7d•$99,750 - $150,000

About The Position

Join a team where your analytics expertise shapes how customers and businesses get onboarded—faster, safer, and smarter. You’ll grow your skills across data products, advanced analytics, and modern AI methods while partnering with stakeholders to deliver measurable outcomes. As a Senior Product Associate - Data Product & Onboarding Analytics in Identity, you will translate complex business needs into scalable analytical products, models, and insights. You’ll work closely with partners to define problems, assess data readiness, and deliver solutions that drive strategic growth. You’ll communicate clearly, iterate quickly, and help raise standards for analytics and responsible AI delivery.

Requirements

Bachelor’s degree in a quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience
Strong analytical, quantitative, problem-solving, and communication skills
Demonstrated ability to translate business questions into analytical approaches and measurable outcomes
Proficiency in statistical programming tools (Python, R, or SAS)
Proficiency in data querying (SQL) and working with large datasets
Experience with modern analytics and data tools such as Hive, Hadoop, Spark, Tableau, or Alteryx
Familiarity with generative AI and prompt engineering fundamentals (prompt design, evaluation, and guardrails)
Ability to explain complex analyses to both technical and non-technical stakeholders
Strong collaboration skills with an ability to influence outcomes across teams

Nice To Haves

Experience delivering analytics solutions that support onboarding, identity verification, fraud prevention, or operational optimization
Experience building reusable analytical products (dashboards, metrics layers, model pipelines, or decision frameworks)
Familiarity with model risk concepts, documentation practices, and monitoring approaches
Experience with experimentation methods (A/B testing, causal inference, or uplift modeling)
Knowledge of data quality management, lineage, and scalable feature engineering practices
Hands-on experience evaluating and improving generative AI outputs for reliability and safety
Experience presenting to senior stakeholders and facilitating decision-making discussions

Responsibilities

Partner with stakeholders across functions to deliver data-driven insights supporting identity onboarding growth
Define business problems, success metrics, and analytical solution scope with product and delivery partners
Recommend analytics products, standards, and best practices to improve consistency and reusability
Assess problem domains and available data assets to determine feasibility and approach
Research, design, implement, and evaluate analytical models, including generative AI–based methods
Perform exploratory analysis, statistical testing, and data mining across diverse datasets
Build and productionize code-based solutions using strong programming practices
Communicate insights, risks, and delivery obstacles to technical and non-technical audiences
Collaborate across teams to ensure solutions are accurate, explainable, and ready for market use
Develop subject matter expertise in financial and operational domains relevant to onboarding