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, and Toronto. 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.
Location:
Mumbai, India (Remote)
About the Role
We’re looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies. In this role, you’ll analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes.
What you'll be doing
Develop and track key metrics to evaluate the effectiveness of risk strategies and operational performance.
Conduct deep-dive analyses to uncover insights that drive improved decision-making and reduce exposure to fraud.
Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities.
Partner with engineers to ensure accurate and scalable data instrumentation.
Build and maintain self-serve dashboards and reporting tools using modern BI platforms.
Translate business needs into analytical approaches in collaboration with cross-functional teams (e.g. Engineering, Business, Operations).
Contribute to the design and evaluation of risk mitigation initiatives, ensuring they align with broader business objectives.
What you'll bring
5+ years of experience in a data-focused role (analytics, data science, or similar), with a track record of high-impact work
Strong SQL and Python skills
Hands-on experience with BI tools like Tableau, Sigma, or Metabase
Exposure to building ML models to address business challenges
Background in the fraud, risk, or compliance domain is a strong plus
Proven ability to perform exploratory data analysis and cohort analysis, and translate findings into clear recommendations
Strong communication skills and comfort presenting insights to technical and non-technical stakeholders
A bias toward action, strong critical thinking, and a pragmatic approach to problem-solving
Compensation: INR 34,00,000 - 50,00,000 + Equity with tremendous upside potential + Attractive benefits
The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.
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, Year-end break, Self care days off
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
Unlimited access to an expert financial advisory
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.
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