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SoFi

Director, Fraud Model Development

Posted 2 Hours Ago
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Hybrid
Cottonwood Heights, UT
Senior level
Easy Apply
Hybrid
Cottonwood Heights, UT
Senior level
As Director of Fraud Model Development, you'll lead a team to innovate fraud risk strategies using AI/ML, oversee model development, and ensure performance optimization.
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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 financial services company and national bank 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:

SoFi’s Senior Manager, Fraud Model Development is a leadership position within SoFi’s fraud model organization whose mission is to protect SoFi and its members using leading edge tools, technology and data models. 

This role will report to the Senior Director of Fraud Models and Ops Business Intelligence and will lead a team responsible for the development and validation of a wide variety of fraud models. This is a highly visible role within SoFi’s data science and BI community and directly contributes towards key company goals and objectives. 


What you’ll do: 

  • Innovate:  Bring your brightest ideas to building fraud risk strategies and models. This means you will architect fraud risk models across dozens of dimensions including ACH, payment transactions, credit and ATO risk, among others. You will be empowered to utilize cutting edge data models, and your team will be supported by platform SoFi AI / ML capabilities. You will stay current with industry trends and best practices in modeling and model risk management and apply them to your team’s work.

  • Leverage Data to drive decisions:  Your deep analysis will power the future of managing Fraud and protecting our members, using our real-time data ecosystem – including multi-product internal, bureau, third-party, and alternative data sources.  

  • Iterate, learn, optimize:  We are all responsible for innovation and must embrace data-driven decisions. You will be expected to build models capable of running various risk scenarios and permutations to ensure SoFi constantly improves the experience and security for our members. 

  • Collaborate:  You will work collaboratively with business partners such as Operations, Finance, Legal and Compliance to deliver successful business results. You will partner closely with implementation / engineering teams to accurately deploy new AI/ML models and strategies. You will work with the Model Risk Management group to continually evolve model performance and how we can leverage these models to improve the member experience. 

  • Minimize Risk and Drive Performance Outcomes:  You deeply understand Fraud risk and develop approaches to both mitigate loss and responsibly grow revenue. You will monitor the performance of strategies and model portfolios and document and communicate results.   

  • Hire and Develop the Best:   You will be expected to be a dynamic leader of our rapidly growing business, where hiring and developing talent is paramount. You will supervise a team of 4-5 model development experts in the work of developing Fraud risk models across numerous member use cases and attack vectors.


What you’ll need:

  • At least 8 years of progressive experience in model development or model risk management within midsize or large U.S. financial institutions, including at least 3 years experience supervising model developers. 

  • Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a quantitative field required. Master’s or Ph.D. degree preferred.

  • Deep knowledge of traditional statistical modeling methods (OLS, logistic regression, survival modeling, etc.) and at least moderate knowledge of artificial intelligence / machine learning approaches (gradient boosting models, neural networks, etc.)

  • Ability to explain risks associated with complex technical matters to a non-technical audience.
    Experience in building and leading high-performing teams, including attracting and retaining top talent.

  • Ability and confidence to exercise influence over a wide range of individuals at all levels of technical and business leadership.

  • Preferred:  Experience building or working within graph databases to build Fraud Risk models
     

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!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Top Skills

AI
Gradient Boosting Models
Graph Databases
Logistic Regression
Ml
Neural Networks
Ols
Statistical Modeling
Survival Modeling

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