🛠 Tech Stack

💼 About This Role

You'll analyze large-scale transaction data using SQL to detect fraud and compliance risks, partnering with Risk and Product teams. Your insights will directly shape rule tuning and decision systems, improving detection rates and reducing false positives.

🎯 What You'll Do

• Analyze transaction data with SQL to detect risk patterns.
• Translate findings into rule tuning and policy inputs.
• Build dashboards for risk control effectiveness.
• Perform deep-dive analyses for financial crime initiatives.

📋 Requirements

• 3–6 years of experience in data analytics, risk, or compliance.
• Strong SQL proficiency to independently query large datasets.
• Dashboard experience with Tableau, Power BI, or Looker.
• Fraud detection or AML systems experience.

✨ Nice to Have

• Python with Pandas/NumPy for data analysis.
• Exposure to rule engines or decision systems.
• Understanding of threshold tuning and optimization.