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Loading LAYIQ…From SoFi's posting. “We” and “our” refer to the employer.
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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.
We are searching for a passionate Staff Fraud Risk Analyst who is highly self-motivated, analytical, with a decent understanding of debit card fraud transactions and account takeover fraud strategies. This role will work on fraud strategies at banking transactional stages during customer journey, implement effective fraud strategies to help our platform to realize a safer, more transparent and secure environment.
This role will work collaboratively with various stakeholders to ensure strategy performances while maintaining a smooth customer experience.
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.
BA/BS in Statistics, Information Systems, Mathematics, Data Science, or related fields, or equivalent work experience
5+ years of work experience in Fraud Analytics. Experience managing risk-decisioning strategies and mitigating losses in debit card fraud transaction flows (ATO, 3DS, CNP, Tokenization) and understanding of sophisticated authentication frameworks, plus with exposure on authentication flows including MFA/IDV
Deep mastery of the trade-off between fraud mitigation and UX, ensuring security strategies protect the business without compromising key conversion and retention metrics.
Expert-level SQL/Python skills used to build automated, high-volume data architectures and statistical models that serve as the foundation for global risk detection.
A proactive leader who uses cross-functional persuasion to align stakeholders and own the end-to-end execution of complex initiatives in fluid environments.
Compensation
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
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