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Sardine

Fraud Ops Analyst

Posted 4 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Mid level
Remote
Hiring Remotely in Canada
Mid level
Investigate and resolve fraud cases, conduct deep-dive analyses on sessions/users/transactions, convert manual reviews into scalable insights, manage active fraud incidents (on-call rotation), recommend and optimize risk rules, influence model improvements, use SQL and analytics tools to surface actionable insights, and present strategic recommendations to clients and internal stakeholders.
The summary above was generated by AI

Who we are:

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

Our culture:

  • We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere

  • We hire talented, self-motivated individuals with extreme ownership and high growth orientation.

  • We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

What You’ll Own

Be the fraud expert for our clients

  • Deep-dive into sessions, users, and transactions to uncover fraud patterns others miss

  • Turn manual reviews into repeatable insights that improve client fraud posture at scale

  • Step in when it matters most, manage active fraud attacks with urgency and precision

  • Participate in on-call rotation for fraud attacks and take full ownership of resolution

Shape fraud strategy (not just execution)

  • Recommend and optimize risk rules balancing fraud prevention and customer experience

  • Influence model improvements through structured analysis and real-world feedback

  • Turn insights into measurable outcomes (fraud rate ↓, approval rate ↑, false positives ↓)

  • Use SQL to analyze large datasets and surface actionable insights

  • Present strategic recommendations to client or internal stakeholders with clarity

Partner across the company

  • Work closely with Engineering, Product, and Data Science to improve our platform

  • Bring real-world fraud learnings into product discussions

  • Contribute to building scalable, repeatable fraud solutions

What You Bring
  • 4+ years in fraud prevention, investigations, or risk management (fintech/payments strongly preferred)

  • Strong SQL skills, you don’t just query data, you interrogate it

  • Experience with BigQuery, Metabase, or similar analytics tools

  • Proven ability to influence client-side stakeholders with clear, data-driven recommendations

  • Comfort operating in ambiguity, you don’t wait for perfect instructions

  • Strong critical thinking and structured problem-solving skills

  • Clear communicator who can simplify complex fraud concepts

  • High ownership mindset, when something breaks, you lean in

Benefits we offer:

  • Generous compensation in cash and equity

  • Early exercise for all options, including pre-vested

  • Work from anywhere: Remote-first Culture

  • Flexible paid time off and Year-end break

  • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific

  • 4% matching in 401k / RRSP - US and Canada specific

  • MacBook Pro delivered to your door

  • One-time stipend to set up a home office — desk, chair, screen, etc.

  • Monthly meal stipend

  • Monthly social meet-up stipend

  • Annual health and wellness stipend

  • Annual Learning stipend

Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.

To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.

Top Skills

Sql,Bigquery,Metabase,Machine Learning,Ai,Behavior Biometrics,Device Intelligence

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