Related skills
looker sql python pandas tableau📋 Description
- Analyze large-scale transaction data with SQL to identify fraud and compliance risk.
- Translate findings into actionable rules, thresholds, and workflows.
- Collaborate with Compliance, Risk, and Product to map regulatory needs to data logic.
- Evaluate risk controls using alerts, false positives, precision/recall metrics.
- Design, build, and maintain dashboards for decision-making.
- Perform deep-dive analyses to support financial crime initiatives.
🎯 Requirements
- 3–6 years in data analytics, risk, fraud, or compliance.
- Strong SQL skills; extract, join, and analyze large datasets.
- Experience building dashboards (Tableau, Power BI, Looker).
- Familiarity with Python (Pandas, NumPy) for analysis.
- Experience in fraud/AML or transaction monitoring systems.
- Translate data insights into business decisions and outcomes.
🎁 Benefits
- Competitive salaries, bonuses, equity, and recognition.
- Medical coverage, 24/7 support, generous vacation; hybrid work (3 days) in office.
- Upskill with training, workshops, and stipends.
- Team events, bonding, and company celebrations.
- Diversity and a truly global, inclusive culture.
- Region-specific benefits page available.
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