<h3>Current Employees of LendingClub: Please apply via your internal Workday Account</h3>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!<h2></h2><h2>About the Role</h2>LendingClub is seeking an Associate Data Modeler to join our Decision Science &amp; Data Modeling Team. In this role, you’ll be responsible for statistical modeling, machine learning, and risk management ad-hoc analysis. You bring experience in the consumer credit industry a quantitative background in building and applying predictive models. This role focuses on developing scorecard and AI/ML models for loan underwriting and pricing, as well as response models for direct mail campaigns. You’ll also explore alternative data sources and emerging technologies to enhance model performance. In addition, you will collaborate closely with the Credit Strategy team to develop new products and strategies.<h2></h2><h2>What Youll Do</h2><ul><li>Develop statistical and machine learning models for credit underwriting, loan pricing, backend review process, and collections</li><li>Establish and maintain an efficient infrastructure for model development, documentation, implementation, and validation</li><li>Provide analytical support to the credit strategy team for new product/strategy development</li><li>Work closely with the Model Risk Governance and Compliance team to ensure model development and validation are documented adequately and that all models comply with regulation requirements</li><li>Collaborate with technology teams to ensure new scores/strategies are implemented accurately and as intended</li><li>Perform various ad-hoc analyses relating to credit risk management</li><li>Evaluate new alternative data sources and modeling methodologies</li></ul><h2></h2><h2>About You</h2><ul><li>2-3 years of experience in retail credit portfolio risk management and decision science</li><li>AI/ML modeling experience strongly preferred, particularly in credit risk modeling using latest AI/ML modeling methodologies</li><li>Bachelor’s degree or higher in a quantitative or statistical field; or equivalent work experience</li><li>Hands-on experience with predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis) and data mining/machine learning techniques (e.g., Gradient Booting Machine, Random Forest, Neural Network)</li><li>Proven ability to develop quantitative analysis and metrics to address multi-dimensional business needs</li><li>Strong communication skills, with the ability to clearly articulate technical and business topics, and effective at cross-functional collaboration</li><li>Proficiency in Python and SQL required; familiarity with R and/or SAS is a plus</li></ul>Work Location San Francisco The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level. Time Zone Requirements Primarily PT While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. Travel Requirements Monthly/quarterly/as needed travel to LendingClub offices and/or other locations, as needed. Compensation The target base salary range for this position is 103,000-120,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub’s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). 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. #LI-Hybrid #LI-GB1 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 interviewaccommodations@lendingclub.com.

Lending Club

Associate Data Modeler San Francisco, CA

Lending Club