Current Employees of LendingClub: Please apply via your internal Workday Account
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!
About the Role
The Fraud Strategy Team at LendingClub is dedicated to safeguarding our customers by proactively identifying, mitigating, and preventing fraudulent activities. The team serves as a critical defense against evolving fraud threats, leveraging data-driven insights, innovative technologies, and cross-functional collaboration to develop effective fraud prevention strategies.
We are seeking a Sr Fraud Strategy Analyst with a blend of analytical expertise and program management capabilities to design and execute fraud mitigation strategies. This role involves analyzing trends, developing proactive solutions, and collaborating with cross-functional teams to safeguard our organization from fraud. The ideal candidate combines data-driven decision-making with strong communication and organizational skills to deliver results in a fast-paced environment.
What You'll Do
- Fraud Analysis and Strategy Development
- Monitor, analyze, and interpret data to identify emerging fraud trends and patterns.
- Develop and implement effective fraud prevention and detection strategies.
- Evaluate the effectiveness of current fraud controls using data-driven approaches.
- Data Science and Advanced Analytics
- Leverage machine learning models and statistical techniques to enhance fraud detection and prevention capabilities.
- Build and optimize algorithms to detect anomalous behavior in large datasets.
- Collaborate with data engineers to ensure clean, scalable, and high-quality data pipelines for fraud detection.
- Experiment with and deploy predictive models that proactively identify potential fraud scenarios.
- Cross-functional Collaboration
- Act as the liaison between analytics teams, product managers, and operational teams to ensure seamless implementation of fraud strategies.
- Collaborate with stakeholders across departments, including Risk, Operations, and Technology, to drive initiatives.
- Partner with external vendors and partners to deploy best-in-class fraud solutions.
- Reporting and Insights
- Develop and maintain dashboards to monitor fraud performance metrics.
- Present insights and recommendations to senior leadership.
- Stay updated on industry best practices, regulatory requirements, and emerging technologies in fraud prevention.
About You
- Bachelor’s degree in a related field (e.g., Data Science, Computer Science, Finance, Statistics)
- 2+ years of experience in fraud analytics, data science, or a related field
- Strong programming skills in Python, R, or equivalent languages
- Proficiency in SQL and experience with data visualization tools (e.g., Tableau)
- Familiarity with machine learning frameworks and model deployment
- Familiarity with fraud detection tools, and exposure to graph analytics or network analysis for fraud detection
- Demonstrated ability to leverage data-driven decision-making to solve complex problems and inform strategy
- Proven experience in program or project management, certifications preferred (PMP, Agile, Kaizen)
- Knowledge of (or a desire to learn about) payment systems, banking, or e-commerce fraud
Work Location
San Francisco
We are currently working a hybrid schedule and our teams are in-office Tuesdays, Wednesdays, and Thursdays.
Time Zone Requirements
Primarily PT
Travel Requirements
If you need to travel for work, LendingClub will cover your travel related expenses.
Compensation
The target base salary range for this position is 103,000-120,000. The position is also eligible to receive a bonus (which is based on company performance, employee performance and eligible earnings) and benefits. Our salary ranges, other compensation and benefits offered are determined by role, experience level and location.
We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes 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 and more.
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LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at [email protected].
Top Skills
What We Do
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. It is the only digital marketplace bank, and the first public U.S. neobank. Members can gain access to a broad range of financial products and services through a technology-driven platform, designed to help them pay less when borrowing and earn more when saving. Since 2007, more than 3 million members have joined the Club to help reach their financial goals.