LendingHome

San Francisco
201-500 employees
LendingHome offers reliable and simplified hard money loans and rental loans for real estate investors of all experience levels to grow their portfolios.

Prior Listings

Risk Analyst

Risk Analyst

This job is no longer open

LendingHome supports real estate investors by offering the opportunity to build successful businesses through a simplified loan process. Our competitive product, innovative technology, and experienced team are changing the way real estate investors receive funding for their fix-and-flip and rental properties, transforming the experience from end to end.


The Team

With our built-from-scratch technology that covers every stage of the loan process, LendingHome has opened access and simplified a way for real estate investors—both novice and experienced—to get financing, generate wealth, and build businesses. Since founded in 2013, we have funded over $6 billion dollars worth of loans across about 30,000+ projects, becoming the nation's largest hard money lender. Combining the best technology and the most knowledgeable people, LendingHome has grown to a team of over 300 and has won many awards over the years including Forbes Fintech 50, Finovate Awards: Best Digital Mortgage Platform, Fast Company’s Most Innovative Companies, and many more. LendingHome is uniquely positioned to become the next great financial services brand powered by the most advanced mortgage platform in the world.

Loans funded: More than $6 billion in fewer than 6 years
Market Share: Increased from ~2.5% in Q1 2020 to over 5.5% in Q3 2020.
Financial Impact: Since April 2020, LendingHome has been profitable every month, a rarity for a fast growing fintech company.
Geography: Lending in 26 states, which account for more than 80% of the nation’s real estate market
Homes financed: About 30,000
Principal and interest returned to investors: More than $5.18 billion
Employees: About 300 employees in San Francisco and Pittsburgh

The Risk team works with product, engineering, capital markets, operations, sales, and other groups across LendingHome to enable robust, data-driven decision-making and drive efficiency by building innovative models to streamline our processes. 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, property valuation, operational efficiency, and funnel optimization.

This is a position that can be based anywhere in the United States, remote or in-office. Our hybrid distributed workforce philosophy allows us to find the best talent in the country and build diverse teams, while allowing our teammates to work from the location that works best for them, whether that is their home office or one of our office locations. We have offices in San Francisco, CA and Pittsburgh, PA for those of you that live local and want to work from the office. We also plan to use these spaces to bring together teammates and drive creativity and innovation. 

 

The Role

The Risk team at LendingHome seeks a talented data scientist. This person needs to have the ability to tackle difficult business problems, including: risk modeling, asset valuation, property valuation, process optimization. Candidates should be able to apply advanced data manipulation and machine learning techniques to solve complex business problems such as developing strategies to set the “right” price to purchase a property before repairs or the property market value after repairs. By accurately pricing properties and assessing the expected return on projects, you can drive growth in our business.

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.

Responsibilities:

  • Develop strategies to assess whether a property is a good candidate for a successful rehab project
  • Explore and iterate on current valuation model to determine the reasonable price to purchase a property and the market value of the property after repairs
  • End to end own the solution from building the prototype to defining and implementing the production process
  • Accelerate  the Risk Team efforts to manage and improve the process of data collection, ingestion, manipulation, and display for risk related processes
  • Drive improvements in business outcomes by testing new and different strategies through systematic planning and execution of experiments
  • Develop models for doing portfolio analytics, such as loss forecasting, collection likelihood, and fraud detection
  • Perform in-depth, rigorous ad-hoc analysis to derive meaningful insights executive management can clearly act upon
  • Define, create, and improve metrics and dashboards that precisely and accurately measure the health of the business
  • Develop analytical tools to support other teams
  • Work cross-functionally to enhance our data capture process and infrastructure

Qualifications:

  • Bachelor’s degree in Math, Statistics, Computer Science, Economics, Finance, Engineering, Physics or a related quantitative discipline
  • Solid understanding of machine learning techniques
  • Programming skills in Python
  • Extensive experience with SQL
  • Ability to design, develop and deploy Data pipelines for Machine learning models 
  • Team player with strong interpersonal skills
  • 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

Bonus

  • Advanced degree (Master’s or PhD) in a quantitative discipline is a plus 
  • Experience in operational excellence, 
  • Comfortable with ambiguity and frequent context-switching in a fast-paced environment

 


LendingHome in the News

  • Forbes: The Future Of Real Estate: Fintech 50 2019
  • Pittsburgh Business Times: Voted a “2019 Best Places to Work” and won first runner-up in large company category
  • Mortgage Professional America: LendingHome surpasses $5 billion in loans in five years
  • Pittsburgh Business Times: San Francisco fintech aggressively expands, looks to hire in Pittsburgh
  • Curbed: How Wall Street, Silicon Valley Institutionalized Home Flipping

 Benefits and Perks 

  • Career Growth: We foster an environment that encourages opportunities to use your voice, make an impact, and move towards your long-term goals.
  • Lunch & Snacks: Hungry? We have you covered! Enjoy catered lunches and Bagel Wednesdays—and don't forget to take your pick of healthy snacks and drinks daily from our fully stocked kitchen.
  • Work-life Balance: With our flexible time off policy, you can enjoy a well-rounded lifestyle while easily balancing work, travel, loved ones, and passions.
  • Family Matters: We know your role here might not be the only one you have. Enjoy your job as a parent and welcoming your new bundle of joy with our competitive parental leave policy.
  • Commuter Benefits: Travel from A to B without the stress. We help you save money on your commute to work with pre-tax deductions and a monthly stipend.
  • Product Ownership: We recognize your hand in making our business great. With offered equity, you can claim your stake in our growth.
  • Health Insurance: Your well-being is important to us. Our comprehensive medical, dental, and vision plans ensure that your mind and body are in good keeping.
    


If you'd like to see more about what LendingHome has to offer or explore additional opportunities, visit us at LendingHome.com/Careers.


LendingHome is an Equal Opportunity EmployerSan Francisco Fair Chance Ordinance Police Code, Article 49
This job is no longer open
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