Senior Data Scientist

What You'll Do:
Develop & deploy machine learning models to identify and prevent fraudulent behavior.
Analyze complex, multi-source datasets to extract patterns and actionable insights.
Partner with operations, compliance, and engineering teams on real-time fraud solutions.
Conduct investigations into emerging fraud trends and deliver clear, data-backed recommendations.
Leverage tools like Python, SQL, SAS, Tableau, Power BI, and cloud platforms (AWS, Azure, GCP).

Key Requirements:
15+ years of experience in data science, with at least 10+ years in fraud/risk analytics.
Strong proficiency in Python, SQL, SAS, and ML techniques (supervised/unsupervised).
Deep experience with cloud platforms and large datasets.
Knowledge of graph analytics, behavioral modeling, anomaly detection, and network analysis.
Familiarity with regulatory compliance and the ethical use of AI.
Excellent communication skills – able to explain technical insights to business stakeholders.
Bachelor’s or Master’s in Data Science, CS, Math, Statistics, or related field.

Nice to Have:
Experience in graph-based fraud detection.
Understanding of fraud KPIs and real-time detection systems.