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Quant Analytics Lead (Insurance)-Vice President (Transformation Analytics)

$170k-$230k/year Columbus, OH, United States Full-time
SQL DeveloperData AnalystDigital AnalystInsights AnalystPython DeveloperFinancial AnalystInsights ManagerData ScientistData LeaderMachine Learning EngineerFull Stack Python Developer

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JOB DESCRIPTION

Turn data into smarter marketing that helps small businesses get the coverage they need. In this role, you will uncover high-value audience opportunities and translate them into targeting and measurement strategies that drive results. You will partner closely with marketing, insurance, and technology teams to shape innovative analytics prototypes and campaigns. You will bring clarity to complex data questions and influence decisions with crisp, executive-ready insights. If you enjoy building practical analytics that makes a measurable impact, you will thrive here.

As a Quant Analytics Lead in Transformation Analytics, you will lead the analytics that power audience strategy and performance measurement for Small Business Insurance marketing. You will identify high-value audience opportunities, develop targeted segments, and translate business goals into actionable analytics roadmaps and experiments. You will partner across marketing, insurance, analytics, and technology teams to align data definitions, build scalable measurement, and improve decision-making. You will communicate insights clearly and help us deliver marketing that is both innovative and measurable.

Job responsibilities 

  • Lead the development and refinement of targeted audience segments using internal and external data
  • Identify high-value audience opportunities for Business Banking customers seeking Property and Casualty insurance
  • Define targeting strategies that improve audience selection, testing, and campaign performance
  • Measure marketing performance end-to-end, including impact, conversion, response, and incrementality
  • Generate insights that inform campaign actions, prioritization, and optimization recommendations
  • Partner with marketing, insurance, analytics, and technology teams to shape delivery plans and manage the book of work
  • Drive discovery, research, and analysis to support new data prototypes and strategic initiatives
  • Align data assets, definitions, and measurement approaches across Data and Analytics partners
  • Build and secure critical data assets needed for targeting execution and comprehensive analytics
  • Leverage cloud-based analytics platforms to improve decision-making and operational efficiency
  • Diagnose complex data and analytical issues, determine root causes, and recommend clear remediation actions

Required qualifications, capabilities, and skills 

  • Bachelor's degree with 5+ years of relevant experience
  • 3+ years of experience in marketing targeting and analytics
  • 3+ years of Property and Casualty Insurance analytics experience
  • Expertise using Python and SQL for advanced analytics
  • Competence  leveraging dimensional modeling and star schema concepts
  • Experience driving measurement and insights, including financial impact, segmentation, targeting, conversion, response, and incrementality
  • Demonstrated ability to translate business strategy into analytics roadmaps, campaign actions, and experimentation plans
  • Experience working with cloud and data platforms (AWS, Google Cloud Platform, or Microsoft Azure) and modern data warehousing concepts
  • Hands-on experience with data wrangling, extract-transform-load processes, and data quality controls
  • Strong communication skills with the ability to translate complex analyses into executive-ready narratives and recommendations
  • Proven ability to collaborate across cross-functional stakeholders and deliver results in a fast-moving environment

Preferred qualifications, capabilities, and skills 

  • Master's degree in a related field
  • Experience supporting insurance marketing analytics for small business customer segments
  • Experience in actuarial or insurance analytics domains such as pricing or reserving
  • Experience with Snowflake, Databricks, or similar modern data platforms
  • Experience using analytics automation and developer productivity tools (for example, GitHub Copilot)
  • Experience applying modern generative AI methods in analytics workflows (prompting, structured outputs, basic evaluation, and guardrails)
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.

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.

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