VP, Modeling & Data Science

Tally; San Francisco (CA); Hybrid; USD 240,000 - 270,000; Full time

Benefits offered by this job

401(k) match

Health, dental, and vision plans

Flexible time off policies

Paid parental leave

Wellness programs

Job summary

Tally is seeking a VP, Modeling & Data Science to lead the development of advanced modeling strategies in a hybrid role based in San Francisco. The role involves setting strategic goals for modeling excellence, overseeing AI and ML innovations, and leading a team of data professionals in a dynamic FinTech environment.

Ideal candidates should possess over 15 years of experience in consumer lending with strong skills in predictive modeling and machine learning. A competitive salary range of $240,000–$270,000 is offered along with comprehensive benefits and an equitable work culture.

Qualifications

• 15+ years of relevant business experience in consumer lending.
• 10+ years leading teams of modelers or data scientists.
• Hands-on experience with predictive modeling methods.
• Deep understanding of machine learning and deep learning methods.
• Experience with enterprise-level ML platforms and practices.

Responsibilities

• Set the enterprise modeling strategy across key domains.
• Champion AI/ML model innovation and oversee model deployment.
• Drive development and governance of model performance.
• Collaborate with Technology on machine learning platform evolution.
• Lead a high-performing team of modeling and data science professionals.

Skills

Predictive modeling methods

Machine learning techniques

People management

Exceptional communication skills

Education

Degree in a quantitative field

Master’s or PhD (preferred)

Tools

TensorFlow

PyTorch

Scikit-Learn

Pandas

Job description

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 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 the deployment of advanced statistical and ML models across the LendingClub 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 LendingClub 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 in people management 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., 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 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. 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 $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 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.

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 [e-mail].