Demo

Manager, Fraud Risk (Fintech)

Augment Analytics
San Francisco, CA Full Time
POSTED ON 5/28/2026
AVAILABLE BEFORE 11/23/2026

We are a thriving fintech company delivering innovative banking products that will empower you to use your credit on your terms, unlocking exceptional rewards along the way while helping you strengthen and forge your financial foundation. With top-tier security, intuitive controls, and unparalleled experience, we put you in charge.

As we continue to expand our platform and add additional products we are looking for an experienced Manager, Fraud Risk, who will own end-to-end fraud strategy and new applicant evaluations.

You will report directly to the Head of Risk and serve as a key member of the leadership team. responsible for building and mentoring your core team over the next two years as we enter an aggressive growth phase.  In this role, you will build and drive onboarding defenses for your team and the company scaling continued growth and performance improvement.


Responsibilities:


Manual Review Strategy & Operations

  • Define the logic and thresholds for routing applicants into manual review, balancing fraud risk against approval rates and customer experience
  • Own the manual review program end-to-end: queue prioritization, SLA design, analyst tooling, and case escalation paths
  • Evaluate the effectiveness of tools used in manual review; identify gaps and advocate for new capabilities that help analysts make faster, higher-quality decisions
  • Track manual review outcomes rigorously: analyst decisions, approval/decline rates, reversal rates, downstream fraud on reviewed accounts, and false positive costs
  • Build structured feedback loops between review outcomes and upstream rules triggers to drive continuous policy refinement


Alternative Data & Signal Development

  • Lead the strategy for incorporating bank account data into onboarding decisions, leveraging signals such as account tenure, balance history, income patterns, and return/NSF activity
  • Operationalize device intelligence and behavioral signals to strengthen identity and fraud detection at the top of the funnel
  • Develop a framework for using partner data: loyalty engagement, transaction history, tenure signals as supplementary fraud indicators in co-brand card programs
  • Evaluate new data sources and vendors on an ongoing basis; build a rigorous test-and-learn methodology to validate signal lift before production deployment


Fraud Detection & Rules Ownership

  • Own the fraud rules framework for onboarding: design, test, implement, and continuously tune rules across identity, velocity, device, funding, and behavioral dimensions
  • Partner with data science to define feature requirements, evaluate model performance, and translate model outputs into operational policy
  • Document all policy decisions clearly, including the tradeoffs made at each threshold


Performance Measurement & Portfolio Monitoring

  • Define and own the KPI framework for onboarding fraud: fraud rate by vintage and partner, manual review rate, auto-decisioned bad rate, tool efficacy, and cost-per-review.
  • Conduct regular portfolio reviews to surface emerging fraud patterns, track loss trends, and assess detection performance.
  • Build reporting to enable real-time monitoring, trend identification, and rapid policy response


Cross-Functional Partnership

  • Partner with Product and Engineering to translate fraud strategy into system requirements and influence roadmap prioritization.
  • Work with Compliance and Legal to ensure onboarding controls meet BSA/AML, Red Flags Rule, ECOA, and UDAAP requirements.
  • Collaborate with Customer Operations to manage edge cases, decision appeals, and applicant escalations


Requirements:

•       5–10 years of experience in fraud strategy, identity risk, or credit risk at a financial institution, fintech, or payments company

•       Deep expertise in onboarding fraud — synthetic identities, identity manipulation, first-party fraud vectors, and deposit/funding fraud

•       Hands-on experience with bank data providers in a fraud or credit risk context.

•       Familiarity with device intelligence and behavioral fraud platforms

•       Strong SQL skills and experience using data to build and evaluate fraud rules, track performance, and identify emerging patterns

•       Excellent communication skills — you can translate complex fraud tradeoffs into clear recommendations for executives, partners, and compliance teams

•       Proactive, bias-to-action mindset: you ask the right questions, align stakeholders, and drive decisions forward


What We Offer:

·        Opportunity to work with cutting-edge technology, innovative products and top industry leaders

·        Medical, dental, and vision insurance for you and your family

·        Option to contribute to 401K upon joining the company

·        Company-observed holidays plus flexible PTO

·        ESOP awards commensurate with role and experience


* No agencies please

**At this time, we will not sponsor a new applicant for employment authorization or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN or other types of work authorization)

Salary.com Estimation for Manager, Fraud Risk (Fintech) in San Francisco, CA
$140,142 to $186,317
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