Data Scientist
Data Scientist
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Job Description
Data Scientist
Our client an industryleading investigative compliance and cyber defense services firm based in the US is looking for a highly motivated and focused data scientist to design develop and implement our Systemic Risk Analytics Framework for the organization s market leading antifinancial crime and compliance solutions. This role will be involved in working with product management R&D business data science and data architecture teams to design build and deploy a leadingedge platform supporting a robust analytics framework for the identification and reporting of illicit activities and associated behavioral patterns of abuse. This will include development of risk models for the detection and monitoring of risk across individual entities populations and jurisdictions. Modern analytical techniques such as customer segmentation identity resolution and identification neural networks and large language and machine learning models will be leveraged alongside defined operational summary statistics analysis and reporting.
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 the reduction of false positives.
Codify and implement developed compliance rules for analyzing payments and their associated beneficiaries remitters and managing directories 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 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.
Requirements
Requirements
- Bachelor s master s 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 antifinancial crime and compliance technologies. For example: Transaction monitoring systems KYC/CDD sanctions and wire screening applications network analysis entity resolution and identification and segmentation utilities or case management solutions.
- Ability to work during Eastern Standard Time regular business hours.
- Possess 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 equivalent certification.
- Strong working knowledge and familiarity with Palantir Foundry applications products and solutions.
Employment Type
Full Time
Company Industry
Financial Services / Insurance Agencies and Brokerages / Investment Banking
