Director of Data Science & Machine Learning, Lending Club
$210-245k
More information about location
3+ days a week in office
Online personal loans
Open for applications
Online personal loans
1001+ employees
Open for applications
$210-245k
More information about location
3+ days a week in office
1001+ employees
Company mission
To transform the banking system to make credit more affordable and investing more rewarding.
Role
Who you are
- 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); Master’s or PhD preferred
What the job involves
- LendingClub’s Risk and Decision Science organization is looking for a Director, Data Science & Machine Learning to lead the development and implementation of advanced machine learning and statistical solutions across our lending and deposit products. You will manage a team of experienced data scientists, working across key domains like credit underwriting, loan pricing, fraud detection, and marketing targeting
- You will play a central role in delivering scalable, interpretable, and compliant models that drive LendingClub’s business performance while collaborating closely with partners across Risk, Technology, Marketing, and Compliance
- 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
Our take
Lending Club is a digital bank offering personal loans, auto loan refinancing, and debt consolidation to help individuals manage their finances. It provides flexible loan terms and competitive rates for a variety of needs, as well as high-yield saving and cash-back checking accounts, designed to help customers grow their money.
Focusing on digital solutions, Lending Club removes traditional brick-and-mortar branches, passing the savings on to customers through low fees and better rates. It connects borrowers with investors in a marketplace model and offers fast loan approvals and competitive interest rates.
To bolster its offering, the company acquired Tally Technologies' intellectual property (IP) to enhance its credit management services. It continues to develop and enhance its products and improve customer engagement in a bid to become a "top of mind" company with more active users.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Apr 2014
$65m
GROWTH EQUITY VC
Nov 2013
$57m
GROWTH EQUITY VC
Total funding: $332m
Company benefits
- Untracked vacation for salaried employees, which means take it when you need it, and generous paid time off for hourly team members
- A hybrid work model that balances in-office and work from home
- Leading health and safety protocols related to COVID, including complimentary at-home testing kits from Cue Health for those coming to the office
- Up to 16 weeks paid leave for new parents, plus a fully paid, phased return-to-work policy for qualified leaves
- Mothers Rooms and hospital-grade pumps in every LC office
- Generous and varied mental health benefits
- Wellness program with cash incentives — earn up to $75 per month for being active
- Paid volunteer time and donation matching
- Onsite gym, locker room, bike room, and fitness classes (depending on location)
- Café with our own in-house barista
- Stocked pantries with healthy snacks and drinks
- Technology-forward and collaborative office spaces
Company HQ
South Beach, San Francisco, CA
Leadership
Scott Sanborn
(CEO)Previously held leadership positions as the Chief Revenue Officer for publicly traded eHealth Insurance, President of RedEnvelope, Inc., and SVP at the Home Shopping Network. Joined LendingClub in 2010 and has worked as Chief Marketing Officer, Chief Operations Officer, and President before becoming the CEO in 2016.
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