Job details

Staff Data Scientist - Machine Learning

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Who we are:

Shape a brighter financial future with us.

Together with our members, we're changing the way people think about and interact with personal finance.

We're a next-generation fintech company using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The Role

The Risk and Operations Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions to support credit underwriting, enhance loan processing, prevent login fraud and account take over, and support loss mitigation, etc. These tasks involve developing complex business rules to researching and applying state of the art machine learning modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business' profitability.

What You'll Do

Develop, implement, and continuously improve machine learning models and strategies that support various credit and operational procedures including but not limited to underwriting, loan processing, loss mitigation, and fraud/account takeover, etc
Proactively identify opportunities to apply advanced machine learning approaches (e.g., NLP, Image Recognition, Graph Mining, etc) to solve complex business problems
Explore and leverage in-house, external, and other open-source machine learning software/algorithms
Collaborate with Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements
Work closely with the Product and Engineering teams for model deployment
Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking
Present model performance and insights to Credit, Risk, and Business Unit leaders

What You'll Need

Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. Master's or Ph.D. degree preferred.
5+ years of relevant work experience with building and implementing machine learning models
Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies
Strong programming skills in Python
Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc.
Effective communication skills and ability to explain complex models in simple terms

Nice To Have

Experience in a financial organization
Experience with model documentation and delivering effective verbal and written communication
Experience in working closely with Product, Engineering, and Model Risk Management teams

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!