Risk Data Analyst - EU

Who we are:

We are a leader in financial crime prevention. Using unparalleled device intelligence and behavior biometrics, we apply machine learning to detect and stop fraud before it happens. The platform includes tools for identity verification, fraud prevention and investigation, AML monitoring, and case management. Over 250 companies use Sardine to prevent fake account creation, social engineering scams, account takeovers, bot attacks, payment fraud, and money laundering. We raised $75M, led by Andreessen Horowitz Growth, XYZ Capital, Google Ventures, Visa, Activant Capital, Experian, and ING Ventures.

Our culture:

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

• We hire talented, self-motivated people and get out of their way

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

Location:

• Remote - Europe

• From Home / Beach / Mountain / Cafe / Anywhere!

• We are a remote-first company with a globally distributed team. So you can find your productive zone and work from there.

You will:

• 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 that contribute to fraud reduction and higher approval rates for our clients.

• 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 the implementation of risk mitigation solutions, ensuring alignment with business goals.

An ideal candidate has:

• Strong technical background with 4+ 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 (Working experience in SQL is a must)

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

• 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 $80,000 - $120,000 + Series B equity with tremendous upside potential + Attractive benefits

Benefits we offer:

• Generous compensation …