LendingHome is hiring a

Risk Analytics Manager

San Francisco, United States

We’re LendingHome. We’re on a mission to revolutionize the world of mortgages and put the power, and the keys, where they belong—in your hands.


The Team:

The Risk team works with product, engineering, capital markets, operations, sales, and other groups across the company to enable robust, data-driven decision-making and drive efficiency by building innovative models to streamline our processes. Our work is highly leveraged; success moves the bottom line. Mortgage is a multi-trillion dollar market and generates some of the most fascinating data sets in the world. We solve practical business problems with the best technologies in all areas of the company, including credit, pricing, operational efficiency, and funnel optimization.


The Role:

LendingHome is seeking a talented Risk Analytic Manager to join the Risk team in our effort to reinvent mortgage. You will be leading a small team to tackle challenging business problems, including risk based underwriting and pricing, asset valuation, process optimization, etc. An ideal candidate should possess critical thinking mindset and ability to utilize advanced analytic skills to solve complex business problems. You’ll also have to work cross-functionally with Product, Engineering, Capital Markets, and many other departments to co-pilot different initiatives. If you’re keen on joining a dynamic company and working on intellectually challenging problems in a fast-paced environment, LendingHome is the place for you. This role reports to our VP, head of Modeling and Analytics.



  • Craft analytic framework and perform rigorous analysis to solve a variety of complex business problems with pragmatic solutions
  • Define, create, and improve metrics and dashboards that precisely and accurately measure the health of the business
  • Conduct in depth analysis on portfolio characteristic and performance trends, identify root causes for places where the current strategies fall short, and create actionable recommendations
  • Build tools to automate and/or simplify analytics, reporting, and potentially operations procedures
  • Communicate insightful analysis results to leadership team and influence management decisions
  • Collaborate with cross functional teams to support various business needs
  • Lead and coach junior analyst(s) in any of the above mentioned functions and strengthen core risk analytics team for the business



  • Bachelor’s degree in Math, Statistics, Economics, Finance, Physics, Computer Science, or a related quantitative discipline
  • At least 3 years’ experience in an analytic role at a commercial bank, investment bank, consulting firm, or technology company
  • Ability to comfortably manipulate, validate, and analyze large datasets
  • In depth experience in using SQL, R, or Python
  • Ability to learn and apply learnings quickly to day to day work
  • A mindset to think critically, challenge the status quo, and not take things for granted just because they exist
  • Ability to partner, collaborate, and communicate well with a diverse set of colleagues, both technical and non-technical, at all levels of the organization;
  • A resourceful and pragmatic approach to problem solving and recognition that the best solutions are sometimes the simplest
  • Experience coaching or managing junior level analysts


Preferred Qualifications:

  • Advanced degree (Master’s or PhD) in a quantitative discipline
  • Excellent grasp of fundamentals in statistics and or business analytics
  • Experience with residential mortgage models, especially with mortgage underwriting, scoring, default, or prepayment

LendingHome is an Equal Opportunity Employer