Data Scientist
1 week ago
Responsibilities:
- Design, develop and implement a robust analytics framework and reporting capability in conjunction with your counterparts in the Systemic Risk Analytics function.
- Partner with stakeholders to ideate and identify new “unknown unknown” risk typologies that can be codified into new risk models.
- Work with data science counterparts and product management to define, develop, and implement new models and techniques to more effectively analyze data for known and unknown illicit behaviors with the chief goal of higher value alerts and reduction of false positives.
- Codify and implement developed compliance rules for analyzing payments and their associated beneficiaries, remitters and managing directors for identification of sanctions and other compliance risks.
- Partner to develop a robust KYC/CDD analytics solution in concert with internal systems and technology vendor partners to understand individual and systemic risk across entities, populations, and jurisdictions.
- Implement appropriate data governance controls, policies and procedures to ensure data integrity and data lineage.
- Ensure automation for the operational execution of rules, models and reports.
- Implement an automated alerting function detecting data cleanliness and data availability issues.
- Overall, increase the accuracy and effectiveness of investigations while reducing operational overhead and run rate cost.
- Bachelor’s, master’s degree or Ph.D. in statistics or math, or equivalent quantitative field of study.
- Demonstrated experience in developing, implementing, and managing operational analytical solutions or frameworks. (8+ years of experience)
- Demonstrated experience in optimization and automation of analytical models/rules including look back, audit, “What if?” and impact analysis testing and performance validations.
- Demonstrated programming skills with SAS, Spark, Python, R or equivalent languages.
- Demonstrated use of Large Language Models such as ChatGPT or equivalent.
- Demonstrated experience working with Anti-Financial Crime and Compliance technologies. For example: Transaction Monitoring Systems, KYC/CDD, Sanctions and Wire screening Applications, Network Analysis, Entity Resolution & Identification and Segmentation utilities or Case Management solutions.
- Ability to work during Eastern Standard Time regular business hours.
- Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
- Strong working knowledge and familiarity with Palantir Foundry applications, products, and solutions.
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