Fraud Risk Analytics Manager
SoFi
Employee Applicant Privacy Notice
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 Fraud Risk Management Center of Excellence is responsible for optimizing our Member experience while minimizing fraud losses. This role sits within the Consumer Banking Fraud Policy and Analytics Team where you will be responsible for using a data-driven approach to optimize fraud strategies across various transactional controls including card fraud, ACH fraud, check fraud and first party fraud.
What you’ll do:
- Develop and implement robust fraud strategies to control risk across various money movement rails including Check, ACH, Debit, ATM and Zelle.
- Utilize industry leading tools and techniques to build new strategies and optimize current controls
- Develop analytical metrics and instrumentation that proactively identify, quantify, and provide timely risk assessment
- Lead investigations into suspected fraudulent activities, collaborating with internal and external stakeholders as needed
- Analyze fraud trends and patterns to identify emerging risks and inform proactive mitigation strategies.
Qualifications
- Experience: 5+ years of experience in fraud risk management, financial crime investigations, or a related field. Experience in financial services preferred.
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to analyze complex data and identify patterns.
- Technical Skills: Proficiency in data analysis tools and techniques, including SQL, Python, or R.
- Communication Skills: Excellent written and verbal communication skills, with the ability to clearly articulate findings and recommendations.