Designing, developing, and deploying advanced analytical and modeling capabilities to detect, prevent, and mitigate fraud across Specialized Consumer Client Solutions
Applying advanced data science techniques to large, complex datasets to identify emerging fraud patterns, strengthen detection strategies, and influence platform‑level risk decisions
Conducting deep exploratory data analysis to identify emerging fraud trends, behavioral anomalies, and evolving attacker tactics
Communicating complex analytical findings clearly to senior and executive‑level stakeholders, influencing risk posture, investment priorities, and product design
Developing and executing long-term strategies for a broad business area, ensuring integration across lines of business to drive growth and market penetration

Strong proficiency in SQL and at least one analytical or data science language (e.g., Python, SAS)
4+ years of experience applying data science, analytics, or advanced modeling in fraud, risk, cyber, or financial services domains
Demonstrated exceptional attention to detail, with the ability to identify subtle data inconsistencies, behavioral anomalies, and analytical gaps that materially impact fraud outcomes
Proven ability to think logically and structure complex problems, breaking ambiguous fraud risks into clear hypotheses, analytical approaches, and testable conclusions
Disciplined analytical judgment, with the ability to distinguish signal from noise and avoid overfitting conclusions based on incomplete or misleading data
Ability to translate analytical insights into business and risk decisions

SCCS Fraud Detection, Advanced Analytics

Key skills