# Senior Data Analyst, New Account Risk

**Company:** [Chime](https://hotfix.jobs/companies/chime)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $133k – $185k/yr
**Experience:** 3+ years
**Skills:** SQL, Python, R, Looker, Hex, Excel, AI Tools, glean, Claude
**Posted:** 2026-07-28

> Senior Data Analyst on New Account Risk team at Chime. Analyze enrollment data to reduce synthetic identity fraud and ID theft while maintaining high approval rates for legitimate users. Build dashboards, support risk policy design, and partner with Product/Engineering. Requires 3+ years in fraud/risk, strong SQL, BI tools, and Excel.

## Job Description

## Responsibilities
- Analyze enrollment and application data to identify opportunities to reduce synthetic identity and ID theft losses, with minimal impact to legitimate applicants (35%)
- Support the design, testing, and monitoring of new account risk policies and decision rules, partnering with Product and Engineering to ship improvements (30%)
- Build and maintain dashboards and reports that track Funnel Enrollment Rate, fraud loss, and approval/false-positive rates against team goals (20%)
- Monitor the performance of third-party vendor models and risk signals used at enrollment, flagging anomalies and trends to senior team members (10%)
- Collaborate with cross-functional stakeholders to fulfill ad-hoc analysis requests as needed (5%)

## Requirements
- 3+ years of experience in a Fraud, Risk, Compliance, or Investigations role, ideally with exposure to new account enrollment, identity fraud, or KYC/CIP
- Working knowledge of identity fraud domains such as synthetic identity and identity theft, and an interest in the threat landscape that targets enrollment funnels
- Strong SQL skills
- Experience with BI tools such as Looker, Hex, or equivalent
- Advanced Microsoft Excel skills
- Comfort using AI tools (e.g., Glean, Claude) to accelerate day-to-day analysis
- Exceptional detail-orientation and organizational skills
- The drive to work in a fast-paced environment and meet ambitious deadlines while ensuring flawless completion
- Bachelor’s degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics is preferred
- A passion for Chime’s mission

## Nice-to-Haves
- Familiarity with Python, R, or a similar analytical language
- Exposure to new account enrollment, identity fraud, or KYC/CIP

## Compensation
- Base salary: $133000 - $185000
- Eligible for bonus, competitive equity package, and benefits

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