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TITLE

 

Sr Modeler - Credit Risk Manager

COMPANY

 

Lending Club

LOCATION

 

San Francisco, CA, US

Description

About the Role

 

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.

 

 

What You'll Do

 

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.

 

 

About You

 

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


LendingClub is an equal opportunity employer and dedicated to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender identity, sexual orientation, age, marital status, pregnancy status, veteran status, or disability status. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system​.

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