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Chime

Remote

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Work type
Remote
Location
Remote
Posted
8 days ago

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How this pay compares to similar roles

Similar $153k
$109k most similar roles pay here $192k

This listing doesn't post a salary. Most similar roles pay $122,006–$184,200.

Based on 240 similar postings.

Employer

About Chime

Chime is a financial technology company offering mobile-first banking services including fee-free checking accounts, savings accounts, and a secured credit builder card through partner banks. Industry: Financial Technology & Neobanking

Chime currently has 16 open roles on FindRole.

Listed pay typically runs $221,000–$221,000 across 13 roles with salary data.

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At a glance

TL;DR · Search | Chime Careers

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As an Insights Analyst at OMX supporting Chime’s Trust & Safety Pillar, you will collaborate with Fraud Operations, Dispute Operations, Risk, Product Management, and Engineering teams to diagnose risks, quantify impacts, and develop actionable recommendations. Your daily tasks include translating complex data into clear insights for senior leaders, defining KPIs, conducting in-depth analyses, and evaluating AI-enabled workflows. You will also design experiments, measure the impact of automation changes, and communicate findings effectively to leadership. This role requires a strong background in quantitative fields with advanced SQL skills, proficiency in Python or R, and experience with BI tools like Looker. Ideal candidates have fintech experience and can navigate the intersection of product, operations, and engineering in Trust & Safety domains.

Skills

Python R SQL Looker Mode BI tools Advanced SQL skills Statistics Causal inference Experiment design Anomaly detection AI/ML systems Fintech Digital banking Payments Fraud Trust & Safety environments

What you'll do

  • Translate complex data signals into actionable insights for senior leaders.
  • Define and monitor KPIs to identify emerging trends in Fraud Ops and Dispute Ops.
  • Evaluate AI-enabled workflows to improve decision accuracy and automation effectiveness.
  • Design A/B tests and develop sizing models to quantify the impact of changes.
  • Create executive-level summaries with quantified impacts and recommended next steps.

What we're looking for

  • 5+ years experience in analytics within Trust & Safety, Fraud, Risk, or Support Operations.
  • Strong proficiency in SQL for complex data analysis and Python/R for modeling.
  • Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, Computer Science, or Engineering.
  • Expertise in statistics, causal inference, experiment design, and anomaly detection.
  • Experience evaluating AI/ML systems and monitoring their performance metrics.
  • Ability to translate complex data into actionable insights for senior leadership.
  • Proven track record of driving cross-functional alignment and decision-making.

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