Data Scientist I

The Cadmus Group•New York, NY

About The Position

The Data Scientist is responsible for designing, building, tuning, and implementing advanced analytical models to detect, prevent, and mitigate risks related to Anti-Money Laundering (AML), sanctions evasion, fraud, and other financial crimes. This role requires a blend of quantitative expertise and data science skills and ability to apply these skills to regulatory compliance within the banking or financial services sectors. Who We Are Cadmus provides government, commercial, and other private organizations worldwide with technology-empowered advisory and implementation services. We help our clients achieve their goals and drive lasting, impactful change by leveraging transformative digital solutions and unparalleled expertise across domains. At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you'll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth. Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit cadmusgroup.com .

Requirements

Master’s Degree in Information Science/ Data Science/ Applied Economics/ Applied Statistics and 3+ years of relevant experience.
Core Technical Skills: Solid, proven technical foundation in SQL and Python and databases.
Machine Learning Implementation: Proven understanding of machine learning concepts and hands-on capability to build ML projects and analytical tools.
Domain Focus: Strong attention to detail, specifically regarding the nuances of financial products, external/internal entities, and the strict assumptions inherent in transaction monitoring.
Independent Execution: Ability to independently approach complex, real-world data problems and execute daily responsibilities with minimal supervision.
Agile Collaboration: Comfortable running or participating in daily Agile/Scrum meetings to present iterative progress, gather feedback, and document subsequent action items.
Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.

Responsibilities

Model Development & Implementation: Develop, test, and implement machine learning, statistical, and rules-based models for transaction monitoring, customer risk rating (KYC), and sanctions screening.
Performance Optimization: Analyze, tune, and optimize detection models to increase efficiency (e.g., reducing false positives) while ensuring proper identification of suspicious activity.
Data Analysis & Validation: Perform data mining, validation, and quality assessment on large, complex datasets to ensure model integrity and compliance with regulatory standards (e.g., SR 11-7).
Documentation & Governance: Maintain thorough documentation of model development, performance, and testing, ensuring compliance with model risk management policies.
Collaboration: Partner with compliance, technology, risk, and business units to align model capabilities with evolving threats and regulatory requirements.
Emerging Risks: Investigate new fraud typologies and adapt models for emerging areas, such as cryptocurrency, blockchain forensics, and AI/GenAI solutions.