Senior Product Associate - Data Product & Onboarding Analytics - Identity

New York, NY, US • Posted 2 days ago • Updated 5 hours ago
Full Time
On-site
USD $99,750.00 - 150,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Advanced Analytics
  • Artificial Intelligence
  • Research Design
  • Testing
  • Data Mining
  • Data Analysis
  • Problem Solving
  • Conflict Resolution
  • Communication
  • Python
  • R
  • SAS
  • SQL
  • Apache Hive
  • Apache Hadoop
  • Apache Spark
  • Tableau
  • Alteryx
  • Prompt Engineering
  • Evaluation
  • Analytics
  • Onboarding
  • Optimization
  • Analytical Skill
  • Dashboard
  • Documentation
  • A/B Testing
  • Modeling
  • Data Quality
  • Generative Artificial Intelligence (AI)
  • Presentations
  • Facilitation
  • Decision-making
  • Immigration
  • Health Care
  • Backup
  • Finance
  • Coaching
  • Recruiting
  • SAP BASIS
  • Law
  • Financial Services
  • Banking
  • Financing
  • Payment Processing
  • Sales
  • Customer Satisfaction
  • Credit Cards
  • Collaboration
  • Partnership
  • Fraud
  • Data Security

Summary

Job Description

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10125746
  • Position Id: 5e3537a38e17494aed6f6636e4162170
  • Posted 2 days ago
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