Job Description

Roles & Responsibilities

Experience in Banking, Financial Services, or FinTech industry preferred.

Required Skills

Strong experience in AML transaction monitoring and fraud detection.

Hands-on experience with SQL, Python, and data analytics.

Experience in regulatory compliance and risk management frameworks.

Knowledge of AML/KYC, OFAC screening, and transaction monitoring systems.

Experience in threshold optimization, alert generation, and false positive reduction.

Familiarity with machine learning models such as XGBoost, clustering, and predictive analytics.

Experience in model validation, sensitivity analysis, and statistical testing.

Strong understanding of risk scoring and compliance reporting.

Experience with BigQuery, Hive, Impala, Excel, and reporting tools.

Knowledge of NLP-based fuzzy matching and anomaly detection techniques is an added advantage.

Strong analytical, communication, and documentation skills.

Desired Candidate Profile

Qualifications

Bachelor s or Master s Degree in Computer Science, Information Technology, Finance, Economics, Risk Management, or related field.

Experience

3+ years of experience in AML, Fraud Detection, Risk Analytics, or Regulatory Technology domain.