Senior Risk Data Analyst

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.

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 metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies.

• Conduct in-depth analyses to uncover valuable insights contributing to fraud reduction and higher approval rates for our clients.

• Serve as a client-facing partner by translating complex data insights into clear, actionable recommendations 

• Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities.

• Work with engineers on data instrumentation.

• Create and automate self-serve dashboards leveraging BI tools.

• Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business requirements into actionable data-driven solutions.

• Collaborate on implementing risk mitigation solutions, ensuring alignment with business goals.

What you’ll need:

• Strong technical background with 7+ years of experience demonstrating high impact in a data-focused role such as product analytics, business analytics, or data science

• Prior experience in the Fraud/Risk domain

• Hands-on experience in SQL and Python

• Expertise in BI tools such as Tableau/Sigma/Metabase

• Exposure to building ML models to address business challenges

• Ability to structure and analyze data, leveraging techniques like EDA and cohort analysis, transform them into understandable and actionable recommendations, and then communicate them effectively across the organization and clients.

• Proficiency in defining, utilizing, and communicating performance metrics

• Creative problem-solving, strong critical thinking, and a getting-things-done approach

Compensation: Base pay range of $150K - $170K + 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.

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