You'll be responsible for identifying suspicious activity, analyzing fraud patterns, and shaping our defenses against financial crime.
As part of our Risk team, you'll investigate alerts, enhance fraud & AML detection rules, and stay up to date with global fraud & AML trends. If you're naturally curious, action-oriented, and excited about using data to protect customers and disrupt financial crime, you might be exactly what were looking for.
Responsibilities:
Monitor, investigate, and analyze transactional activity to detect potential fraud, AML, and embezzlement schemes related to customer transactions and behaviors across digital channels to determine suspicious activity
Create and maintain fraud & AML monitoring rules, monitor emerging trends and proactively update detection logic.
Utilize business intelligence tools (e.g., SQL,BI, Excel) to produce risk dashboards and reports that support strategic decision-making.
Collaborate with cross-functional teams including data analytics, compliance, and legal to optimize risk detection mechanisms and refine typologies.
Support continuous improvement of the fraud & AML detection lifecycle, from alerting logic to case resolution workflows.
Requirements:
A bachelors degree in a business, economics, or information-related field (e.g., Business Administration, Economics, Information Systems).
13 years of hands-on experience with SQL for analyzing operational datacomfortable with joins, subqueries, and exploring data via dashboards.
1-2 years experience with BI tools (e.g., Power BI) to support business reporting and decision-making.
Understanding of how data flows through systems and impacts business processesespecially in finance, operations, or risk.
Sharp attention to operational details with a structured, process-oriented mindset.
Ability to communicate insights clearly and translate analytics into business language.
Enthusiastic about working in a fast-paced, cross-functional environment with broad exposure to risk, compliance, and business operations.
Advantage:
Knowledge of AML or fraud monitoring processes either from business support or analyst roles.
Exposure to regulatory operations, compliance reporting, or internal controls within financial institutions.
Familiarity with operational KPIs, workflow automation, or case management systems.
Internship or project experience in financial services operations, business analytics, or economic research.
