Mission Lane

Director of Data Science, Credit Risk

Mission Lane$185K — $219K *
US-AnywhereRemote in United States
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science applied to credit risk management
  • Proven track record of leading teams and driving clear project goals
  • Ability to mentor and develop team members effectively
  • Strong communication skills for conveying a vision in data science
  • Experience with deploying and managing machine learning models in production
  • Proficient in software engineering fundamentals and the PyData stack

Responsibilities

  • Lead the design, development, and deployment of innovative machine learning models
  • Collaborate with business and technical leaders to identify new data sources
  • Enhance modeling methodologies with a focus on sound risk management
  • Drive practical solutions to improve financial outcomes for customers
  • Manage cross-functional projects to support business objectives

Benefits

  • Comprehensive health, dental, and vision coverage
  • Flexible Spending Account for medical and childcare expenses
  • Generous paid time off and flexible scheduling
  • Access to a Calm App subscription for wellness
  • Opportunities for training and career advancement
Full Job Description
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 offered on this role. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment.

About Mission Lane

LendUp was an American online direct lender. It offered payday loans, installment loans, and credit cards to consumers with low credit scores using publicly available data to assess creditworthiness. The company referred to its customers as “the emerging middle class.” LendUp also issued credit cards in partnership with Tom Steyer's Beneficial State Bank. LendUp was co-founded by in 2011 by stepbrothers Sasha Orloff and Jake Rosenberg and incubated at Y Combinator.The company positioned itself as a "socially responsible lender," and claimed to provide access to financial services for "underbanked" Americans in addition to lower cost credit and credit-building opportunities. LendUp received $325 million in equity and debt financing from PayPal, Kleiner Perkins Caufield & Byers, Google Ventures, Andreessen Horowitz, Alexis Ohanian, Y Combinator and QED Investors, among others. In an article published shortly after the company's launch, Time Magazine wrote that LendUp "says it’s not like other payday lenders. Yet the fees it charges — a little over $30 to borrow $200 for two weeks — are similar to what its competitors charge." In 2016, LendUp paid $6.3 million in fines for deceptive practices and widespread violations of payday and installment loan laws. In 2016 it was again sued by the Consumer Financial Protection Bureau for violating the Military Lending Act.
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