VP, Modeling & Data Science jobs in United States
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LendingClub · 1 day ago

VP, Modeling & Data Science

LendingClub Corporation is the leading digital marketplace bank in the U.S., helping millions of members secure loans to achieve their financial goals. They are seeking a VP of Modeling & Data Science to lead innovative modeling strategies across the enterprise, integrating machine learning and advanced analytics to enhance credit, fraud, and marketing operations.

Consumer LendingCreditFinanceFinancial ServicesFinTechLendingPeer to PeerPersonal Finance
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H1B Sponsor Likelynote

Responsibilities

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, 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

Qualification

Machine LearningPredictive ModelingData Science LeadershipModel GovernanceDeep LearningStatistical MethodsConsumer Lending ExperienceMachine Learning PlatformsSystems ThinkingExceptional CommunicationCross-Functional Collaboration

Required

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., 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

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

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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.

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 Company
Total Funding
$392.23M
Key Investors
Kleiner PerkinsUnion Square VenturesFoundation Capital
2017-04-09Post Ipo Equity
2014-12-11IPO
2014-08-22Series Unknown

Leadership Team

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Scott Sanborn
CEO
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Drew LaBenne
Chief Financial Officer
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Company data provided by crunchbase