Data Engineer - Risk Intelligence

A company is looking for a Data Engineer, Risk Intelligence to build and deploy intelligent risk models for Risk & Compliance teams.

Key Responsibilities

Build and prototype risk models for fraud scoring and anomaly detection

Critically evaluate data to validate signals and ensure models reflect real-world risk behavior

Collaborate with stakeholders to integrate models that reduce loss and manual effort

Required Qualifications

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

2+ years of experience in data engineering, preferably in fintech or compliance-driven environments

Strong proficiency in SQL, Python, and modern data engineering frameworks

Experience with cloud platforms and data warehouses

Familiarity with fraud detection systems or regulatory data reporting is an advantage