LendingClub · 2 days ago
Director, Data Science & Machine Learning
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$210K/yr - $245K/yr
10+ years expLendingClub is the leading digital marketplace bank in the U.S., committed to helping members achieve their financial goals. The Director of Data Science & Machine Learning will lead the development and implementation of advanced machine learning solutions across lending and deposit products, managing a team of data scientists and collaborating with various stakeholders to drive business performance.
Consumer LendingCreditFinanceFinancial ServicesFinTechLendingPeer to PeerPersonal Finance
Hiring Manager
Kat Greco
Responsibilities
Lead the end-to-end development, deployment, and performance monitoring of machine learning and statistical models used in credit, fraud, marketing, pricing, and operational decisioning
Manage and mentor a team of data scientists and machine learning experts to deliver best-in-class modeling capabilities
Partner with stakeholders across Credit Strategy, Marketing, Risk, Engineering, Model Risk Management, and Compliance to align solutions with business objectives and regulatory standards
Apply advanced techniques such as gradient boosting, deep learning, and ensemble modeling to improve prediction accuracy and operational efficiency
Contribute to the design and evolution of LendingClub’s ML infrastructure and tooling for scalable experimentation and deployment
Identify and integrate new data sources to enhance model performance and business impact
Ensure rigorous documentation, governance, and model validation in accordance with financial services regulatory requirements
Communicate complex technical concepts clearly and effectively to business leaders, senior executives, and oversight functions
Qualification
Required
10+ years of experience in machine learning, data science, or credit risk analytics, preferably in consumer lending or financial services
5+ years of experience managing high-performing teams in applied machine learning or predictive analytics
You are an experienced and technically adept leader in machine learning and data science, with a passion for driving innovation and solving real-world financial challenges through data
Strong technical expertise in supervised and unsupervised learning techniques (e.g., logistic regression, decision trees, GBMs, neural networks)
Proficient in Python and key ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch, Pandas, NumPy)
Deep understanding of end-to-end model lifecycle management, from development through monitoring and retraining
Familiarity with model governance practices and regulatory frameworks (e.g., SR 11-7, OCC guidance)
Proven ability to execute complex projects, manage stakeholder expectations, and deliver high-impact results
Excellent communication and data storytelling skills with the ability to influence across all levels of the organization
Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics)
Preferred
Master's or PhD preferred
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
Company
LendingClub
Since our founding in 2007, we have transformed the banking industry by bringing a traditional credit product - the installment loan - online and we’ve been on the fast track ever since.
1001-5000 employees
H1B Sponsorship
LendingClub has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (3)
2022 (26)
2021 (19)
2020 (106)
Funding
Current Stage
Public CompanyTotal Funding
$392.23MKey Investors
Kleiner PerkinsUnion Square VenturesFoundation Capital
2017-04-09Post Ipo Equity
2014-12-11IPO
2014-08-22Series Unknown
Leadership Team
Drew LaBenne
Chief Financial Officer
Scott Sanborn
Chief Operating Officer & Chief Marketing Officer
Recent News
p2p-banking.com
2025-12-24
2025-11-24
Company data provided by crunchbase