Senior Fraud Risk Analyst

San Francisco, California


Who we are

SoFi is a digital personal finance company whose mission is to help its members achieve financial independence to realize their ambitions, whether that be to buy a house one day, start a family on their own terms or be debt free. We aim to be at the center of our members’ financial lives, and to help every member Get Their Money Right®. By joining SoFi, you’ll become part of a forward-thinking company that is transforming financial services by embracing technology to build innovative loan products, investment tools, and more. One of the fastest growing fintech companies, we’ve grown from 250 employees in 2015 to over 1,500 employees today, and are well on our way to reaching 1 million members. With offices across the US, we offer the excitement of a rapidly growing startup with the stability of a seasoned management team and some of the best talent around. As an employer, we strive to hire employees who are committed to both our company’s mission and our desire to build the best culture in the world. If you are driven, passionate about what you do, and excited about the SoFi mission, we would love to hear from you.

The role

The fraud prevention analyst will be a key member of the Fraud Prevention team.  This team member will bring strong data analysis skills and deep knowledge of fraud prevention to help SoFi optimize our data driven fraud prevention decisions.  

What you’ll do:

The fraud prevention analyst will help SoFi develop better data driven fraud decisioning by:

  • Aggregating and synthesizing data sets from multiple data environments

  • Analyzing complex datasets to understand aggregate performance of fraud decisioning and granular performance of multiple decision methods

  • Develop new data driven rules that optimize decisioning performance between Member experience and fraud prevention

  • Work with external fraud prevention vendors to optimize their performance

  • Work with business teams and product teams to implement new fraud prevention oriented features

What you’ll need:

The fraud prevention analyst will be someone who is highly motivated and able to work collaboratively in a complex and fluid environment.  The ideal candidate will have strong expertise in analyzing large datasets using SQL/Python/R and other statistical analysis packages such as scipy.  The fraud prevention analyst will also have a deep understanding of the financial fraud space and experience creating and optimizing fraud prevention rules and strategies.

Nice to have:

  • Experience managing fraud risk strategy at an e-commerce merchant, financial services company or bank. 

  • Bachelor’s in Quantitative / STEM majors preferred.   

Why you’ll love working here

  • Competitive salary packages and bonuses

  • Comprehensive medical, dental, vision and life insurance benefits

  • Generous vacation and holidays

  • Paid parental leave for eligible employees

  • 401(k) and education on retirement planning

  • Tuition reimbursement on approved programs

  • Monthly contribution up to $200 to help you pay off your student loans

  • Great health & well-being benefits including: telehealth parental support, subsidized gym program

  • Employer paid lunch program (except for remote employees)

  • Fully stocked kitchen (snacks and drinks)

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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