Senior Data Scientist - Credit Underwriting

About Clair

If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck?

At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day. 

Learn more about us at getclair.com/about

About the Role:
We are looking for an experienced Senior Data Scientist to join our team, focusing on credit underwriting within the embedded fintech space. In this role, you’ll apply your expertise in rules-based modeling and advanced analytics to help shape our credit strategies, develop innovative predictive models, and ensure compliance with regulatory guidelines. You’ll work on critical initiatives like predictive employment tenure models, transaction labeling, and cash flow prediction, contributing to the success of a market-ready product.

Key Responsibilities:

• Develop and refine rules-based models for transaction labeling (e.g., categorizing income buckets, expenses).
• Build and optimize cash flow prediction models to assess user behavior and financial stability.
• Conduct wage and hour assessments to ensure accurate and compliant financial modeling.
• Analyze and interpret complex credit risk data, aligning models with regulatory requirements and limits.
• Leverage Plaid and other financial APIs to process and analyze unconventional or obscure datasets.
• Partner with engineering and product teams to bring data-driven insights into our product, ensuring scalability and reliability.
• Collaborate across departments to align credit underwriting strategies with business goals.
• Monitor and validate the performance of credit models post-launch, iterating as needed to optimize outcomes.
• Stay current on regulatory changes and industry best practices in credit risk and financial modeling.

Qualifications:

• Experience: 5+ years as a Data Scientist, with a strong focus on credit underwriting in the B2C fintech product space.
• Modeling Expertise: Proven experience with rules-based modeling, transaction labeling, and cash flow predictors.
• Regulatory Knowledge: Deep understanding of credit risk, including familiarity with relevant regulatory limits and compliance requirements.
• Product Experience: Worked on a product that successfully went to market.
• Technical Skills:
• Proficient in Python, SQL, and data analysis tools.
• Experience with financial data APIs like Plaid and handling unconventional datasets.
• Strong background in statistical modeling, machine learning, and data visualization.
• Problem-Solving: Ability to work with obscure data and deliver actionable insights.
• Communication: Excellent communication skills to collaborate with cross-functional teams and present findings to non-technical stakeholders.

Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Finance, or a related field.

Additional Details:

Location: This role is open to remote candidates located in the U.S. Eastern time zone only.

Compensation: The annual base salary for this role is $195,000 to $200,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size.  Base pay is only one part of Clair’s competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future.