LendingClub Bank, N.A. - San Francisco, CA
posted 5 days ago
Full-time - Mid Level
San Francisco, CA
About the position
The Sr Fraud Strategy Analyst at LendingClub plays a crucial role in safeguarding customers by identifying, mitigating, and preventing fraudulent activities. This position involves analyzing fraud trends, developing proactive solutions, and collaborating with various teams to enhance fraud prevention strategies using data-driven insights and innovative technologies.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Requirements
- 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
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
