Financial Crimes Compliance Modeling Analyst
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Job Title :
Financial Crimes Compliance Modeling Analyst
What you'll do :
Financial Crimes Compliance Modeling Analysts are responsible for assisting in maintaining and improving Financial Crimes Compliance analytics and technological capabilities.
Under the Financial Crimes Compliance Data Analytics Manager, the Analyst supports the development of processes and technological improvements to achieve efficiencies in various workflows, and implementing and maintaining optimization of the Financial Crimes Compliance's monitoring tools, and increasing the capabilities in data visualization.
Analysts employ strong technical skills in banking systems / database technologies to understand and communicate effectively with Information Technology and Operations teams and other internal stakeholders, assisting them to understand necessary model and infrastructure requirements and solutions.
What we are looking for :
Responsibilities :
- Provides analytical and technical support for systems delivery for Financial Crimes Compliance monitoring tools. Partner with Financial Crimes Compliance Modeling Analysts in order to understand their workflow and to utilize their feedback, where appropriate, to strengthen the quality of Financial Crimes Compliance Data Analytics work product.
- Leverages technology to enable advanced analytical and data visualization techniques to improve risk detection and increase operational efficiencies.
Assists with tuning and optimization of BSA and fraud detection models, transaction monitoring system, Customer Due Diligence scoring algorithm, and the Sanctions monitoring system.
Supports Financial Crimes Compliance management in the development of an effective Financial Crimes Compliance model governance program, in accordance with Model Risk Management guidelines, that meets regulatory requirements.
Participates in the development and implementation of new reporting functionality and transaction monitoring channels for Financial Crimes Compliance analytics purposes.
Creates professional program / reporting documentation in support of Anti-Money Laundering Transaction Monitoring and related reporting.
Provides timely responses to ad- hoc data requests from Financial Crimes Compliance and other internal departments.
Assists in the design and governance of Financial Crimes Compliance monitoring systems (transaction, Customer Risk Rating, Sanctions) to ensure adequate controls are in place.
Serve as liaison to Information Technology, Risk Management, and Operations to mitigate compliance risk and ensure audit soundness.
Independently identifies opportunities for risk coverage enhancements and proactively provides technical solutions including data extraction, data manipulation, and automated dashboarding to provide insights to leadership
Qualifications :
- Bachelor’s degree from a college or university and / or equivalent work experience in Fraud or Bank Secrecy Act / Anti-Money Laundering or related experience in financial services data analysis and systems technologies.
- 2+ years of experience in Transaction Monitoring program development, implementation and validating systems / controls is preferred
- Model Validation experience with Financial Institutions is preferred
- Intermediate knowledge of general banking, including an understanding of bank products, services, regulations, policies, and procedures, with an emphasis on Fraud knowledge.
Senior Analysts possess Advanced Expert knowledge in this area.
- Demonstrated use and intermediate knowledge of SQL and / or SAS in a professional environment
- Experience using Power BI and / or Tableau in a professional environment
- Experience testing and validating SQL and / or SAS code and resulting data sets
- Experience working in a regulated environment
- Ability to demonstrate an intermediate proficiency in SQL and / or SAS to extract and manipulate data
- Strong interpersonal abilities, including oral and written communication skills with beginning to intermediate-level experience in writing technical documents for diverse audiences.
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