companySoFi logo

Lead Data Scientist - Home Loan Risk at SoFi | San Francisco

SoFiCA - San Francisco
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Mid to Senior

Qualifications

Qualifications:Proven experience in machine learning and data science, particularly in financial services. Strong understanding of statistical modeling and risk assessment methodologies. Experience with programming languages such as Python and R, and familiarity with data visualization tools. Ability to convey complex technical concepts to non-technical stakeholders. Passion for innovation and a collaborative mindset. Master’s degree or equivalent experience preferred.

About the job

Employee Applicant Privacy Notice

About Us:

Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the way individuals engage with personal finance through innovative, mobile-first technology. As a next-generation financial services company and national bank, we are committed to helping our millions of members achieve their financial goals. With a rapidly evolving industry, we are proud to be at the forefront of this transformation. Our core values drive us to make a meaningful impact on people’s lives every day. Invest in yourself, your career, and the financial world by joining our team!

The Role:
The Risk Data Science team is on the lookout for a strategic and technically proficient Machine Learning Engineer to spearhead the advancement of SoFi’s Home Loan and Home Equity risk frameworks. This pivotal role is part of a high-priority initiative aimed at delivering a comprehensive, loan-level credit risk and valuation framework for our home lending portfolios.

As a key technical leader, you will harness cutting-edge ML methodologies to tackle complex challenges, including default and prepayment modeling, property valuation (AVMs), and credit risk assessment, ensuring our valuable secured loan products are underpinned by top-tier data science.

Your Responsibilities:

  • Lead the development and implementation of ML models tailored for mortgage-specific applications, such as credit underwriting, debt-to-income (DTI) validation, and automated appraisal reviews.
  • Oversee the technical evaluation and comprehensive ownership of externally developed models, ensuring adherence to stringent internal standards for quality, performance, and scalability.
  • Communicate model performance and portfolio insights to senior leadership, translating intricate data into actionable credit and business strategies.
  • Collaborate with Model Risk Management (MRM) and governance teams to guarantee that all models are developed with the technical rigor necessary to meet complex regulatory and compliance requirements.
  • Work alongside Product and Engineering teams to operationalize models, overseeing their deployment, real-time monitoring, and seamless integration into core business systems.
  • Continuously explore and utilize in-house, external, and open-source ML frameworks to create the next generation of proprietary mortgage risk tools.

About SoFi

SoFi is a revolutionary financial services company and national bank dedicated to transforming the way people manage their finances. Leveraging state-of-the-art technology, we empower millions of members to achieve their financial aspirations. Our commitment to innovation and excellence drives us to continually enhance our offerings and create impactful solutions for our clients.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.