À propos
What You'll Be Doing
The Data Scientist will be 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.
This is an on-site (5 days a week) role (may become hybrid), and the ideal applicant is expected to work in New York location.
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, visitcadmusgroup.com (https://cadmusgroup.com./) .
Responsibilities
Develop and implement rule-based and scenario-driven detection models using Python and PySpark to identify suspicious transaction patterns and potential financial crimes.
Design and build scalable data processing pipelines using PySpark on distributed environments, enabling efficient processing of high-volume transactional data.
Utilize AWS cloud services such as Amazon S3, AWS Glue, and Amazon EMR to store, transform, and process large datasets for model development and automated monitoring workflows.
Write optimized SQL queries to extract, transform, and validate structured and semi-structured financial data from enterprise data warehouses and data lakes.
Collaborate with business stakeholders, compliance teams, and risk analysts to gather functional requirements and translate them into technical solutions, including new monitoring rules and detection scenarios.
Develop automated testing frameworks in Python and PySpark to validate rule logic, scenario accuracy, and data quality before deployment to production environments.
Implement data validation, anomaly detection, and rule-testing pipelines to ensure accuracy and regulatory compliance in transaction monitoring systems.
Work with AWS-based data lakes and lakehouse architectures to integrate transactional data, reference datasets, and external risk indicators for enhanced analytics.
Perform data transformation and feature engineering using PySpark and SQL to prepare datasets for risk modeling and rule evaluation.
Maintain detailed technical documentation, code repositories, and testing artifacts following industry best practices and internal governance standards.
Support CI/CD deployment processes and version control (Git) for rule development and data pipeline updates.
Monitor and optimize data pipeline performance, Spark jobs, and SQL queries to ensure efficient processing and scalability in cloud environments.
Work closely with bank personnel and cross-functional teams to support day-to-day AML monitoring operations, scenario tuning, and regulatory compliance initiatives.
Qualifications
Master's Degree in Information Science/ Data Science/ Applied Economics/ Applied Statistics and 3 - 5 years of relevant experience.
Solid, proven technical foundation in SQL and Python and databases.
Proven understanding of machine learning concepts and hands-on capability to build ML projects and analytical tools.
Strong attention to detail, specifically regarding the nuances of financial products, external/internal entities, and the strict assumptions inherent in transaction monitoring.
Ability to independently approach complex, real-world data problems and execute daily responsibilities with minimal supervision.
Comfortable running or participating in daily Agile/Scrum meetings to present iterative progress, gather feedback, and document subsequent action items.
Additional Information:
Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.
The minimum starting salary for this position is $70,000. The actual salary may be higher and will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.
We value the critical role safety and health protocols contribute to everyone's success at Cadmus and work together to align and comply with all federal, state, and local safety and health mandates to ensure a safe and valuable work environment.
Cadmus is an Equal Opportunity Employer and prohibits unlawful discrimination. Cadmus is committed to providing a respectful workplace where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy), sexual orientation (including gender identity and/or expression), national origin, military and veteran status, physical and mental disability, or any other characteristic protected by applicable law.
Learn more about Cadmus by visiting our website at: cadmusgroup.com
Job Locations
US-NY-New York
Posted Date
13 hours ago
(3/7/2026 10:59 AM)
Job ID
2026-3145
# of Openings
1
Category
Financial Services
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.