Lending Club (NYSE: LC) opened in 2007 with one simple mission: create a more efficient, transparent and customer-friendly alternative to the traditional banking system that offers creditworthy borrowers lower interest rates and investors better returns.
Today, we're the world's largest online credit marketplace, and we're radically changing the way lending operates. We're proud of the recognition we've received, including being named a World Economic Forum Technology Pioneer, a CNBC Disruptor 50, and one of The World's 10 Most Innovative Companies in Finance by Fast Company. We're conveniently located in downtown San Francisco, California.
We are looking to hire a Risk Manager in Risk Management Department. The position is responsible for statistical modeling and risk management ad-hoc analysis.
You will have experience working in the consumer credit industry with a quantitative background in the development and use of statistical model and scorecard. This role will focus on developing new statistical models and scorecards for loan underwriting and pricing, as well as exploring new alternative data sources and new modeling technologies. This position will play a meaningful role in working with credit strategy team to develop new products and strategies. You will also work with Model Risk Governance and Legal to ensure all models are documented appropriately and aligned with all regulation requirements, and work with IT department to ensure models are implemented correctly.
Develop statistical models and scorecards for credit underwriting, loan pricing, backend review process, and collections.
Build and maintain an efficient infrastructure for model development, documentation, implementation, and validation.
Provide analytical support to credit team for new product/strategies development.
Work closely with Model Risk Governance and Legal department, make sure model development and validation are documented adequately; all models are stayed in sync with regulation requirements.
Collaborate with technology teams to ensure new scores/strategies are implemented correctly and as designed.
Perform various ad-hoc analyses relating to credit risk management.
Evaluate new alternative data sources and modeling methodologies.
You hold 5+ years in retail credit portfolio risk management and decision science experience
You have hands-on experience on predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis, etc.). Familiarity with other data mining/machine learning techniques would be helpful.
You have the ability to develop quantitative measurements/analysis to address multi-dimensional business needs
You communicate clearly and precisely on technical and business topics, effective skills to collaborate with other departments
You consider yourself someone with attention to details, dedicated, willing to take extra effort
MS degree or PhD in quantitative/statistical fields or related field
Proficiency with SAS Base, Stat, and SAS macro language
Comfortable with SQL and MS Office
Experience in R, Python, or XENO is a plus
Why Join Us:
Lending Club offer all the meaningful things you'd want like competitive salaries, an ownership stake in the company, 100% paid medical and dental insurance premiums, and a 401k matching program.
We also offer some unexpected benefits you'll love like healthy free snacks and drinks, game rooms, our very own coffee shop, and more.
Lending Club is an equal opportunity employer committed to diversity in the workplace. Lending Club promotes a drug-free workplace. You will receive consideration for employment without regard to sex, race, color, religion, national origin, protected veteran status, or disability status.