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VP, Modeling & Data Science

VP, Modeling & Data Science

LendingClub BankSan Francisco, United States
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VP, Modeling & Data Science Current Employees of LendingClub : Please apply via your internal Workday Account

LendingClub Corporation (NYSE : LC) is the parentpany of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the , 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 ismitted to making that a reality. Join the Club!

About the Role

LendingClub Bank's Decision Science group is seeking an innovative and highly experienced quantitative data science leader to join us as our VP, Modeling & Data Science. This pivotal role will shape the next generation of modeling strategies across LendingClub's enterprise-spanning personal loans, auto, purchase finance, and deposits.

As a key member of the leadership team, you will be responsible for setting a clear strategic vision for modeling excellence, including integrating next-generation machine learning (ML), AI capabilities, and advanced data sources into our credit, fraud, and marketing ecosystems. We're looking for a leader with extensive experience in the consumer lending or Fintech industry who is passionate about leveraging advanced analytics and machine learning to solveplex business problems. You will lead a high-performing team of modelers and partner cross-functionally to build an agile, future-ready modeling infrastructure.

What You'll Do

  • Set the enterprise modeling strategy across key domains : credit underwriting, fraud detection, marketing targeting, pricing, and operational decisioning.
  • Champion AI / ML model innovation and oversee deployment of advanced statistical and ML models across the LendingClub ecosystem.
  • Drive the development, enhancement, andernance of aprehensive suite of models, ensuring performance, interpretability, andpliance.
  • Collaborate with Technology to evolve our machine learning platform for scalable experimentation, deployment, and monitoring.
  • Lead a team of 6-10 seasoned modeling and data science professionals, fostering a culture of innovation, curiosity, and rigor.
  • Build robust partnerships with cross-functional teams including Credit Strategy, Marketing, Risk, Operations, Engineering, andpliance.
  • Evaluate and integrate emerging data sources to unlock new insights and opportunities across our lending and deposit products.
  • Set the agenda for continuous improvement in tools, technologies, and methodologies.
  • Serve as a modeling thought leader, representing LendingClub in industry forums and regulatory discussions , and benchmarking best-in-class practices.
  • Partner closely with Model Risk Management to ensure strongernance and alignment with evolving regulatory expectations.

About You

  • 15+ years of relevant business experience , with a significant portion in consumer lending.
  • 10+ years of experience leading and developing teams of modelers, data scientists, or other analytical functions.
  • Extensive hands-on experience with predictive modeling methods (, logistic regression, multivariate linear regression, decision tree, cluster analysis), with a strongmand of a wide range of advanced data mining and machine learning techniques.
  • Deep practical experience and solid understanding of machine learning and deep learning methods (, GBM, Neural Networks).
  • Proficiency with leading machine learning and deep learning toolkits (, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
  • Experience establishing or scaling enterprise-level ML platforms and practices.
  • Experience with consumer credit portfolios and data science / decision science / risk management within the banking sector is a significant plus.
  • Hands-on knowledge of credit and fraud functions development in a regulated banking or fintech environment.
  • Strong understanding of modelernance, validation, and regulatorypliance in financial services.
  • A systems thinker who isfortable operating in both strategic and technical dimensions.
  • Ability to develop sophisticated quantitative measurements and analyses to address multi-dimensional business needs.
  • Exceptionalmunication skills , with the ability to clearly and precisely articulate technical and business topics across all levels of management, including senior executives and regulators.
  • Proven ability to influence and drive change cross-functionally , championing new ideas and approaches.
  • Degree in a quantitative field (, Statistics,puter Science, Engineering, Economics); a Master's or PhD is preferred, though equivalent professional experience will also be considered.

    • 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.

    The target base salary range for this position is 240,000-270,000. 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 onpany 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 apetitive 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-BC1

    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 aremitted to providing reasonable amodations for qualified individuals with disabilities in our job application process. If you need assistance or an amodation due to a disability, please contact us at interviewamodations@lendingclub. Job ID R0006699

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    Data Science • San Francisco, United States