Advise customers on mortgage loan products and guide them through the end-to-end application and approval process.
Build and maintain strong relationships with borrowers, offering consistent and clear communication throughout their journey.
Collaborate with underwriting and processing teams to ensure timely and accurate loan closings.
Stay informed of lending regulations, market trends, and mortgage product updates to provide expert guidance.
Contribute feedback to help refine and improve Splash’s mortgage processes, tools, and customer experience.
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About Splash Financial
Splash Financial empowers individuals to take control of their debt. They connect borrowers with a network of banks and credit unions. This marketplace offers student loan refinancing, personal loans, and home equity lines of credit. Their AI-enabled platform simplifies financial products for those who need them most. Over $6 billion in loans have been refinanced through their partner network. They have raised over $135 million from notable investors like DST Global and Citi Ventures. This company builds financial technologies that fundamentally transform the lending industry.
How We Work
Splash Financial is remote-first, fostering flexibility and autonomy for most roles. Their culture emphasizes operating like a startup: fast-paced, nimble, and full of heart. They value good people who care deeply about meaningful work. Collaboration and connection happen through quarterly meet-ups and dedicated Slack channels. Every team member is encouraged to embody their core values. These values include taking full accountability and following through on commitments. They also include moving fast, innovating faster, and pushing through barriers. Team members speak up with honesty, respect, and a desire to solve problems. Finally, they win as a team by lifting each other up.
Engineering at Splash Financial
Splash Financial builds an AI-enabled lending marketplace. Their platform uses automated loan processing technology. Engineers here craft scalable solutions for complex financial products. You will partner with data science teams on predictive modeling and risk framework development. They use statistical analysis with SQL and Python for deep analytical investigations. This work directly informs credit policies and portfolio strategy. Their technology helps traditional lenders provide modern, frictionless borrowing experiences.
Why Join Us
Empower individuals to manage their debt with innovative financial solutions.
Work in a remote-first, startup environment backed by over $135M in funding.
Own critical credit strategies and influence company-wide risk decisions.
Collaborate across Credit, Data Science, Product, and Operations teams.
Access a fully paid Claude subscription to supercharge your work.