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LE

LendingClub

via Glassdoor

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Sr Fraud Strategy Manager

Anywhere
Full-time
Posted 12/27/2025
Verified Source
Key Skills:
Data analysis
Fraud detection
Risk management
SQL/SAS/Python/R
Data visualization
Performance metrics

Compensation

Salary Range

$0K - 0K a year

Responsibilities

Develop and optimize fraud strategies, analyze large datasets for emerging patterns, and build dashboards to track KPIs.

Requirements

6+ years in risk or fraud roles within FinTech, banking, or payments, with proficiency in analytical tools and understanding of card fraud vectors.

Full Description

About the position As a key member of LendingClub’s Fraud Risk Management team, you will play a critical role in protecting our members and strengthening the integrity of our products. You will lead the development of card-related fraud strategies, build and monitor performance metrics, and partner closely with teams across the organization to ensure LendingClub delivers a safe and seamless experience for our customers. Responsibilities • Develop and optimize fraud strategies that balance risk mitigation with strong member experience - minimizing card transaction fraud losses while supporting healthy card usage across LendingClub’s banking and credit products • Leverage deep knowledge of Mastercard/Visa network transaction data to design rules and logic that address compromised card and online card fraud • Research, design, and test innovative solutions that enable scalable, accurate fraud detection and decisioning • Analyze large, complex datasets to identify emerging fraud patterns and uncover actionable insights using advanced analytics and data-mining techniques • Partner with Fraud Operations, Product, Engineering, and Rules teams to ensure strategies are implemented accurately and perform as intended • Build automated dashboards and reporting to track key KPIs (e.g., fraud loss, approval and conversion performance) and communicate strategy impacts and insights to senior leadership Requirements • 6+ years of professional experience, including 3+ years in a Risk role within FinTech, banking, lending, payments, or e-commerce • Bachelor’s degree or higher in a quantitative discipline such as Statistics, Math, Engineering, or Economics; or equivalent work experience • Strong understanding of debit and credit card fraud vectors and industry best practices • Proficient in analytical tools such as SQL/SAS and Python/R • Experienced with data visualization and BI tools such as Tableau or Excel to create clear, actionable dashboards • Excellent communication skills with the ability to translate complex analyses into simple, compelling recommendations Benefits • medical, dental and vision plans for employees and their families • 401(k) match • health and wellness programs • flexible time off policies for salaried employees • up to 16 weeks paid parental leave

This job posting was last updated on 12/30/2025

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