VP, Machine Learning & Data Science

Lending Club • San Francisco, CA

197d • $240,000 - $270,000 • Hybrid

About The Position

LendingClub Bank's Decision Science group is seeking an experienced and qualified quantitative data science professional to fill the role of VP, ML Science & Predictive Modeling. This role will report to the SVP, Decision Science and Modeling and will be responsible for providing functional leadership for Modeling across the enterprise. The successful candidate will have broad experience working in the consumer lending industry. A primary focus for this role is to set the strategic direction across several areas within modeling across the enterprise along with enhancing the use of AI/ML models across the business. This position will also engage heavily with partners to acquire, integrate, and analyze new data sources that would be leveraged across the organization including credit strategy, marketing, operations, engineering, and risk/modeling.

Requirements

• 15+ years of relevant business experience
• 10+ years experience managing teams of modelers/data scientist or other analytical functions
• Bachelor's or master's degree in a quantitative discipline is preferred; or equivalent work experience
• Hands-on experience with predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis, etc.)
• Familiarity with other data mining/machine learning techniques are a plus
• Hands-on experience and solid understanding of machine learning and deep learning methods (GBM, Neural Net, etc.)
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Hands on experience working with or setting up machine learning platforms
• Experience with Consumer credit portfolios and data science/decision science/ risk management in Banking a plus
• Understanding of Credit strategy / Fraud Strategy development experience is required; Credit acquisitions strategy is a plus
• Strong knowledge of applicable regulations and industry practices
• Ability to develop quantitative measurements/analysis to address multi-dimensional business needs
• Ability to communicate clearly and precisely on technical and business topics across all levels of management
• Experience communicating with senior executives and regulators
• Ability to influence and drive change cross-functionally

Nice To Haves

• Experience with Consumer credit portfolios and data science/decision science/ risk management in Banking
• Credit acquisitions strategy experience

Responsibilities

• Set the strategic direction across several areas within modeling across the enterprise
• New statistical model/scorecard development across Fraud, Marketing, Credit and potentially other areas of the business
• Management of the existing suite of models
• Collaboration with technology on a machine learning platform deployment
• Lead the team in applying sophisticated machine learning methods to a wide variety of complex tasks
• Overall 1st line governance for model risk management
• Functional responsibilities span all LendingClub Consumer lending products- Personal Loans, Auto, Purchase Finance and Deposits
• Partner with teams responsible for developing statistical models and scorecards in several areas including fraud, marketing, credit underwriting, loan pricing, collections and, response targeting
• Lead a team of 6-10 experienced individuals, collaborate closely with stakeholders, and invest independent time towards learning, researching, and experimenting with new innovations in the field (i.e. AI/ML)
• Ensure models are developed and validated to effectively price and issue credit across a wide spectrum of products, including 3rd party offers
• Set agenda for continuous evolution of tools and innovations including new data sources across use cases for lending and deposits
• Participate in industry forums to benchmark LendingClub tools, techniques, processes and strategy performance esp. to provide insight in the use of data
• Collaborate with 2nd Model Risk Management team to build efficient validation and monitoring processes while also building strong relationships across 1st and 2nd line
• Communicate effectively with senior leadership, the board, and regulators on all aspects pertaining to the management of the modeling/AI/ML function for LendingClub

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
• Bonus based on company performance, employee performance and eligible earnings
• Equity options
• Competitive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees