Senior Risk Data Analyst

Sardine; United States; Remote; USD 150,000 - 170,000; Full time

Job summary

A leading company in fraud prevention seeks a Senior Risk Data Analyst to enhance risk strategies through data analysis and collaboration. The role involves developing metrics, conducting insightful analyses, and building ML models to combat fraud. Flexible work arrangements and competitive compensation are offered.

Benefits

Health Insurance

Flexible PTO

Home Office Stipend

Wellness Stipends

Qualifications

• 7+ years in a data-focused role like product analytics or data science.
• Experience in Fraud/Risk domain.
• Strong data analysis skills with techniques like EDA.

Responsibilities

• Develop and monitor metrics for risk product performance.
• Conduct analyses to uncover insights for fraud reduction.
• Build and experiment with ML models to detect fraud patterns.

Skills

Data Analysis

Communication

Problem Solving

Tools

SQL

Python

Tableau

Metabase

Sigma

Job description

Join to apply for the Senior Risk Data Analyst role at Sardine.

About Sardine

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. Over 300 banks, retailers, and fintechs worldwide use Sardine to prevent identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from investors including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

Our Culture

• Remote-first with hubs in the Bay Area, NYC, Austin, and Toronto
• Hire talented, self-motivated individuals with extreme ownership and high growth orientation
• Performance-focused, flexible work hours to support work-life balance

About The Role

We seek a data-driven professional to measure, understand, and improve our risk strategies. You will analyze datasets, design metrics, build dashboards, and collaborate with stakeholders to optimize outcomes.

Responsibilities

1. Develop and monitor metrics for risk product performance and strategy effectiveness
2. Conduct analyses to uncover insights for fraud reduction and approval rate improvements
3. Translate complex data insights into clear recommendations for clients and teams
4. Build and experiment with ML models to detect fraud patterns
5. Collaborate with engineers on data instrumentation
6. Create and automate dashboards using BI tools
7. Work with cross-functional teams to translate business needs into data solutions
8. Implement risk mitigation solutions aligned with business goals

Qualifications

• 7+ years in a data-focused role such as product analytics, business analytics, or data science
• Experience in Fraud/Risk domain
• Proficiency in SQL and Python
• Experience with BI tools like Tableau, Sigma, or Metabase
• Experience building ML models for business challenges
• Strong data analysis skills with techniques like EDA and cohort analysis
• Ability to communicate metrics and insights effectively
• Creative problem-solving and a results-oriented approach

Compensation & Benefits

Base pay: $150K - $170K + equity, with upside potential. Benefits include health insurance, flexible PTO, remote work, home office stipend, wellness stipends, and more.

Additional Details

Join a fast-growing, global team committed to meaningful work. For privacy details, see our Privacy Notice.