Cyber Fraud Data Analyst

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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

We are looking for a talented Fraud Data Analyst to join our growing Fraud Platform Integrity team with focus on cyber. The ideal candidate brings unique experiences in both Fraud and Cyber with the technical ability to work with large disparate data sets. This role will require a strong understanding of both worlds and will be a critical contributor to the development of a Cyber Fraud Fusion Center.

The ideal candidate should be familiar with SQL and Python and have experience working with Snowflake and Tableau. They will be required to work independently and will need to be self-motivated to achieve the company's objectives in fraud prevention. The mission is to continue to iterate and develop a world class fraud prevention platform. We want to hear from you if you love working with data and are passionate about doing the right thing!

What you’ll do:

The Fraud Data Analyst will be responsible for the following:

• Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.
• Driving collaboration with industry partners and law enforcement
• Play a vital role in revolutionizing the operating model, forging seamless synergy between the Cyber and Fraud teams.
• Analyze large and intricate datasets to extract actionable intelligence and develop new controls.
• Merge and integrate multiple complex datasets into a unified system, enabling comprehensive analysis and enhanced insights.

What you’ll need:

• Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection
• A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)
• 4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber
• In-depth understanding of web protocols and related data to uncover fraud related patterns.
• Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection
• A proactive and innovative mindset, continuously staying updated on the latest trends, emerging technologies, and evolving cyber threats in the financial sector.
• Understanding of malicious tools used by adversaries to target the financial sector
• Experience with intelligence analysis processes, including Open Source Intelligence (OSINT) and closed source intelligence gathering, social media analysis, source verification, data fusion and link analysis

Nice to Have:

• Knowledge of security network architectures (e.g. Proxies, VPN, DNS, web and mail servers) and the principles of network security
• Experience working with multiple cross-functional teams to deliver results
• Experience in banking and/or fintech industry

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.

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 Rights

SoFi 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.