Lead Data Analyst, MyPay

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Lead Data Analyst, MyPay Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA About the Role We are looking for a highly analytical and strategic Lead Data Analyst of Credit Risk to lead risk strategy for MyPay , Chime's innovative product that provides members with early access to their earned wages. In this role, you will be the cornerstone of our MyPay risk function, balancing rapid product growth with responsible risk management and loss mitigation. You will sit at the intersection of credit risk strategy and data science. You will own the underwriting, limit assignment, and loss forecasting strategies for MyPay, leveraging your deep technical expertise to build data-driven solutions. You will also directly manage, mentor, and grow a team of talented Data Analysts to execute on complex analyses and experimentation. The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to - Drive Risk Strategy: Support the end-to-end credit risk lifecycle for the MyPay product, including underwriting policies, dynamic limit assignments, and repayment strategies. - Lead Experimentation: Design, execute, and analyze rigorous A/B tests to optimize credit limits, user experience, and risk/reward trade-offs. - Leverage Data Science: Utilize advanced statistical modeling and data science techniques to identify new risk signals, improve predictive models,

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