C

Chime

Runs a mobile banking app with no monthly fees

Lead Data Scientist - Credit Risk

Risk ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Master's degree in Statistics, Economics, Engineering, Math, Finance, Computer Science, or another quantitative discipline is required.
  • At least 7 years of analytical or data science experience in Financial Services; FinTech experience is preferred.
  • At least 4 years of experience building and managing risk for unsecured credit products such as installment loans, lines of credit, or credit cards.
  • Hands-on experience with credit bureau data and prescreen, pre-approval, or direct mail credit programs.
  • Experience with credit furnishing, bankruptcies, delinquency, and write-off policies, and working knowledge of consumer lending regulations including FCRA, ECOA/Reg B, fair lending, and adverse action.
  • Strong SQL and Python skills, advanced Microsoft Excel skills, and experience working in Looker or a similar business intelligence tool.
  • Strong grounding in statistics and machine learning for credit, including scorecards, gradient-boosted models, swap-set analysis, vintage analysis, and experiment design.
  • Ability to explain trade-offs to executives and defend the underlying analysis.
  • Ability to work in a fast-paced, complex environment and meet ambitious deadlines while completing work accurately.

Responsibilities

  • Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant Loans for prospects and extending to future unsecured products such as credit cards and lines of credit.
  • Develop and evolve channel-specific credit policies for pre-approval/prescreen, direct mail, open application, referrals, and affiliates to support growth while balancing risk, unit economics, and member experience.
  • Design and continuously iterate acquisition, loan amount and line assignment, pricing, line management, repayment, and collections strategies.
  • Use credit bureau, alternative, and internal data to underwrite applicants with no prior Chime relationship; build credit models and policies hands-on and in partnership with the DSML team.
  • Design and read out champion/challenger tests and controlled ramps, quantifying trade-offs among approvals, losses, direct deposit conversion, and lifetime value.
  • Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage losses, and unit economics; set launch criteria, guardrails, and expansion triggers.
  • Collaborate with data teams to build data infrastructure, early-read monitoring, and dashboards for first payment default, delinquency, vintage, and roll rates to inform senior management about credit risk trends and exposures.
  • Work with DSML, Product, Design, Engineering, and Decision Platform teams to test and implement risk models and strategies in production, including accurate adverse action reasons.
  • Partner with Compliance, Legal, Fair Lending, Model Risk Management, Fraud, and bank partners to document, approve, and govern credit policies.
  • Mentor and collaborate with other credit risk data scientists to develop strategies, share knowledge, and raise the team's analytical bar.

Desired Qualifications

  • A PhD is a plus.
  • FinTech experience is preferred.
  • Acquisition or underwriting experience is strongly preferred.
  • Experience in subprime or near-prime lending, affiliate or marketplace lending, credit card line management, or cash-flow and alternative-data underwriting.

About the Company

Chime

Runs a mobile banking app with no monthly fees

Chime runs a mobile banking app for everyday Americans, with accounts held at federally insured banks and no monthly or overdraft fees. It made its name by releasing direct-deposit paychecks up to two days early, and in 2019 it introduced SpotMe, which covers small overdrafts without a fee. Members spend with a Visa debit card or the Chime Card, a credit card backed by their own deposits that builds credit, and get part of their pay before payday through MyPay. Chime makes most of its money from the swipe fees merchants pay when members use its cards, plus charges and interest on instant transfers, pay advances, and small loans. Chime was founded in 2012 and is based in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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