Senior Product Associate - Data Product & Onboarding Analytics - Identity

Posted Yesterday
Be an Early Applicant
New York, NY, USA
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Translate business needs into scalable analytical products for identity onboarding. Define success metrics, assess data readiness, build and productionize models (including generative AI), perform exploratory analysis and experimentation, create reusable analytics products, and communicate insights to technical and non-technical stakeholders to drive onboarding growth and risk-aware delivery.
Summary Generated by Built In

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.

Job 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
Required qualifications, capabilities, and skills
  • 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
Preferred qualifications, capabilities, and skills
  • 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

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting.

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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. 

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.

Equal Opportunity Employer/Disability/Veterans

About the Team
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.

We offer a broad array of credit cards to meet the needs of individuals and small businesses, including Chase-branded and co-branded cards in partnership with well-known companies and organizations. Merchant Services is a leading provider of payment, fraud and data security for companies, capable of authorizing transactions across global currencies.

Skills Required

  • 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
  • Ability to explain complex analyses to both technical and non-technical stakeholders
  • Strong collaboration skills with an ability to influence outcomes across teams
  • 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

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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