Real-Time Fraud Data Analyst – ML-Driven Risk (Luxembourg)

Satispay; Turbigo; Hybrid; EUR 50,000 - 70,000; Full time

Benefits offered by this job

Private insurance for you and your family

Stock Option Plan

Unlimited PTO

Flexible working hours

Mental health workshops

Job summary

Satispay is looking for a Fraud Data Analyst to enhance digital payments through effective real-time decisioning strategies. In this role, you’ll architect and optimize decision-making processes to combat payment fraud, utilizing your skills in SQL and Python. The ideal candidate has 3-7 years of experience in risk or payments and is fluent in English. This position includes benefits like private health insurance, meal vouchers, and unlimited PTO with a hybrid working model.

Qualifications

• 3 to 7 years in risk, payments, or credit sectors.
• Highly skilled in SQL and Python for data analysis.
• Solid understanding of payment fraud dynamics.
• Excellent communication skills, fluent in English.

Responsibilities

• Architect real-time decisioning strategies.
• Translate complex fraud patterns into high-performing rules.
• Proactively hunt for emerging schemes.
• Optimize the decisioning stack.
• Calibrate ML and heuristics around decision making.
• Analyze security measures to design user experiences.
• Monitor rule efficacy and present recommendations.

Skills

SQL

Python

Communication

Machine Learning

Data Science

PySpark

GraphQL

Job description

Satispay is looking for a Fraud Data Analyst to enhance digital payments through effective real-time decisioning strategies. In this role, you’ll architect and optimize decision-making processes to combat payment fraud, utilizing your skills in SQL and Python. The ideal candidate has 3-7 years of experience in risk or payments and is fluent in English. This position includes benefits like private health insurance, meal vouchers, and unlimited PTO with a hybrid working model.