Director of Data Science, Credit Risk

About this role

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we’re enabling people to unlock real financial progress. Sound like a mission you can get behind?

About the Role

As a Director of Data Science, Credit Risk, you will lead a data science team and cross-functional projects to innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers.

As a Director of Data Science, you’ll:

Lead the design, development, and deployment of machine learning models to solve practical problems and help our business and customers reach their financial goals. You’ll partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.

You are a person who:

• Has a PhD in a quantitative field and 5+ years of experience in a related leadership role

• Has a BS / MS in a quantitative field and 8+ years of experience in a related leadership role

• Has experience applying data science to credit risk management and is excited to build on a multi-billion-dollar portfolio that’s growing every day.

• Can make your team better every day because you can be clear about goals and the team’s purpose. You can execute through education, organization, and trust.

• Can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need.

• Has a deep understanding of the field of data science and can communicate a vision to your team on how the field can be applied to solve difficult, practical problems.

• Has created, deployed, and managed experiments and models in production systems. You can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in applied work.

• Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.).

You get bonus points for:

• Experience solving problems in consumer lending or fintech

• Interest in advancing the frontiers of credit underwriting through the creation of new data sources, causal inference, and neural networks

We’re offering:

We’re committed to ensuring our team members have balance in their lives. Our comprehensive benefits package provides the support you need to thrive at work and at home.

• Work: An engaging culture with access to training programs and advancement opportunities

• Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match

• Balance: Generous PTO, flexible schedules, a Calm App subscription, and more

Compensation
Annual full-time base salary range: $185,000 - $219,000

Additional compensation in the form(s) of participation in our annual incentive program and equity are…