Associate Fraud Data Scientist - Strategy & Insights

Lending Club

San Francisco (CA)

Hybrid

USD 120,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Untracked vacation
Hybrid work model
Health benefits
Parental leave
Mothers Rooms
Wellness program
Volunteer time
Onsite gym
Barista cafe
Snack pantry

Job summary

Lending Club in San Francisco is seeking an Associate Data Scientist to turn complex data into actionable insights, develop analytical solutions that strengthen fraud strategies, and partner across Fraud, Risk, Product, Technology, and Operations while building deeper technical and business expertise.

Analyze large, complex datasets using SQL and Python to identify fraud patterns, emerging risks, and opportunities to improve decision-making; support the development and implementation of fraud

Qualifications

  • Hands-on experience using SQL and Python to work with large datasets and produce reproducible analysis.
  • Familiarity with AI tools and their strengths/limits for real-world analytical problems.
  • Experience in data science, fraud analytics, or related analytical fields.
  • Ability to translate analytical findings into clear recommendations for technical and business audiences.

Responsibilities

  • Analyze large, complex datasets to identify fraud patterns and emerging risks.
  • Support development and implementation of fraud detection strategies and models.
  • Build and maintain reliable queries, dashboards, and reporting.
  • Monitor fraud trends, loss metrics, strategy performance, and investigate anomalies.
  • Develop repeatable processes to monitor model and strategy performance, data accuracy, and changes in population behavior.
  • Partner with cross-functional teams to translate business questions into analytical approaches and support solutions from analysis through implementation.
  • Use AI-assisted tools where appropriate to accelerate exploration, coding, and documentation while validating outputs and protecting sensitive data.

Skills

SQL
Python
AI tools familiarity
Statistics
Data visualization
Model monitoring
Communication
Ownership

Education

Bachelor's degree or higher

Tools

Tableau

Job description

Lending Club in San Francisco is seeking an Associate Data Scientist to turn complex data into actionable insights, develop analytical solutions that strengthen fraud strategies, and partner across Fraud, Risk, Product, Technology, and Operations while building deeper technical and business expertise.

Analyze large, complex datasets using SQL and Python to identify fraud patterns, emerging risks, and opportunities to improve decision-making; support the development and implementation of fraud

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