Fraud Model Developer

Reposted 5 Days Ago
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San Francisco, CA
Hybrid
Senior level
Fintech • Mobile • Software • Financial Services
SoFi’s mission is to help people reach financial independence to realize their ambitions.
The Role
The role involves developing machine learning models to minimize fraud losses, conducting analysis, and collaborating across business units to improve data-driven modeling solutions.
Summary Generated by Built In

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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:

We are looking for a Data Scientist and/or Machine Learning model developer to join our Fraud Model Development Team. This team member’s responsibilities include model development and performance monitoring supporting data-driven decision-making in partnership with our Fraud and Risk management teams. The Data Scientist will play a key role in developing Fraud models to reduce loss, minimize false positives and ultimately help SoFi protect our members. These models will apply to all SoFi products and services including Personal Loans, Student Loans, Credit Cards and Crypto. 


The Staff Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to minimize Fraud losses and provide insights on the drivers for losses. She/He will also collaborate with the Business Units, Finance, Accounting, Operations and Fraud Risk groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages as well as strong problem solving skills. The ideal candidate should have hands-on knowledge on common Fraud reduction methodologies and excellent knowledge of data science, statistical methodologies and machine learning models (e.g. linear regression, logistic regression, decision trees, gradient boosting, random forests, neural network, clustering analysis etc.).

By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.


What you’ll do:

The Data Scientist will help SoFi develop better data driven modeling solutions by:

  • Developing quantitative/machine learning models to reduce Fraud losses, and OpEx related to supporting Fraud complaints and disputes
  • Aggregating and synthesizing datasets from multiple data environments
  • Analyzing complex datasets to understand the performance and drivers for losses across various products
  • Investigating external risk data to identify trends in the market and industry
  • Conducting loss sensitivity analysis
  • Automating models and analytical dashboards
  • Monitoring the models’ performance and re-calibrating the models as needed
  • Working with Business Units, Operations, Product, Capital Markets, Finance, Accounting and Risk partners to ensure correct loss expectations and trend of losses are communicated effectively and executed appropriately

What you’ll need:

  • 5+ years of loss forecasting experience and/or a Master’s or PhD degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a quantitative field
  • Proficient in Python, SQL & Tableau
  • Experienced in model development and data analysis with deep knowledge of data science, statistical methodologies and machine learning models, e.g. linear regression, logistic regression, decision trees, gradient boosting, random forests, neural network, clustering analysis etc.
  • Hands-on knowledge on common loss forecasting methodologies
  • Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environment

Nice to have:

  • Familiarity working with graph databases
  • Experience with developing and productionizing models in the AWS environment a plus
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 an inclusive culture. 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

Machine Learning
Python
SQL
Tableau

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The Company
HQ: San Francisco, CA
4,500 Employees
Year Founded: 2011

What We Do

For over a decade, SoFi has helped transform the Fintech industry by creating financial products and services that help people borrow, save, spend, invest, and protect their money better, so they can achieve financial independence and realize their ambitions. Whether it’s owning a home, saving for retirement, paying off their student loans, or helping our members invest - SoFi is there every step of the way. Want to learn more about how it works? Check it out here: https://www.sofi.com/how-it-works/

Our core values are at the center of how we help our millions of members get their money right. They are our guiding principles for how we think about serving our members, building our company, and most importantly, how we work together. At SoFi, it’s not just what we do - but how we do it.

SoFi is also proud to be the naming rights partner of SoFi Stadium, home of the Los Angeles Chargers and the Los Angeles Rams.

For more information, visit SoFi.com

Why Work 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 members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.

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Employees engage in a combination of remote and on-site work.

For the majority of our workforce who work on a hybrid schedule, the in-office requirement is a handful of days per month!

Typical time on-site: Flexible
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