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VP, Modeling & Data Science

LendingClub

VP, Modeling & Data Science

LendingClub

San Francisco, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$240,000 - $270,000

Benefits & Perks

Healthcare

401(k)

Equity

Flexible Hours

Parental Leave

Healthcare

401k

Equity

Flexible Hours

Parental Leave

Required Skills

Machine learning

Data science

Predictive modeling

Leadership

Statistical analysis

Deep learning

Model governance

Regulatory compliance

Current Employees of Lending Club: Please apply via your internal Workday Account

Lending Club Corporation (NYSE: LC) is the parent company of Lending Club 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!

About the Role

Lending Club 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 Lending Club’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 solve complex 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 Lending Club ecosystem.

  • Drive the development, enhancement, and governance of a comprehensive suite of models, ensuring performance, interpretability, and compliance.

  • 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, and Compliance.

  • 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 Lending Club in industry forums and regulatory discussions, and benchmarking best-in-class practices.

  • Partner closely with Model Risk Management to ensure strong governance and alignment with evolving regulatory expectations.

  • Communicate complex technical and business topics with clarity and impact to senior leadership, the board, and regulators, on all aspects pertaining to the management of the modeling/AI/ML function.

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 (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis), with a strong command 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 (e.g., GBM, Neural Networks).

  • Proficiency with leading machine learning and deep learning toolkits (e.g., Tensor Flow, Py Torch, Num Py, 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 model governance, validation, and regulatory compliance in financial services.

  • A systems thinker who is comfortable operating in both strategic and technical dimensions.

  • Ability to develop sophisticated quantitative measurements and analyses to address multi-dimensional business needs.

  • Exceptional communication 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 (e.g., Statistics, Computer 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. Lending Club offers relocation, based on actual job level.

Time Zone Requirements

Primarily PT

While the position will primarily work local hours, Lending Club 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 Lending Club offices and/or other locations, as needed.

Compensation

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 Lending Club’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.

Lending Club 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 interviewaccommodationslendingclub.com.

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About LendingClub

LendingClub

Financial services company.

501-1,000

Employees

San Francisco

Headquarters

Reviews

3.5

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

2.5

Career

2.0

Management

3.0

25%

Recommend to a Friend

Cons

Company reputation/brand perception issues

Not considered top-tier fintech

Grouped with lower-quality competitors

Salary Ranges

523 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Associate Data Scientist

0 reports

$165,500

total / year

Base

-

Stock

-

Bonus

-

$140,675

$190,325

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Interview Process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical Assessment

5

Panel Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Risk Assessment