This role is specifically in support of the AML Namescreening Program and the CENSE AML Namescreening engine. This position requires demonstration of critical thinking, analytical and problem-solving abilities, hands-on intelligence or data analysis skills, and intellectual curiosity. The candidate must be able to apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection. The candidate should understand data science methods, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect financial crime risk.Responsibilities:
- Identify, vet and address potential risks or escalated issues with the assistance of functional partners and key stakeholders
- Analyze comparative data, prepare and present reports related to AML risk assessments, and monitor AML related issues and escalations
- Develop approaches/action plans to compliance and control issues by weighing various alternatives and balancing potentially conflicting situations
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
- Conduct analysis and activities to drive down false positives and identify screening enhancements and potential gaps.
- Demonstrate an ability to apply curiosity and critical thinking in data mining and analytics.
- Conduct data mining / query functions across relational or big data databases utilizing various data science tools and methods.
- Supports tactical and strategic initiatives and projects focused on screening detection.
- Understand the regional or global implications and applicability of the recommendations.
- Effectively communicate recommendations to stakeholders.
- Conduct analysis employing available technology to identify patterns, red flags, or typologies of interesting behavior.
- Synthesize information into knowledge by identifying relevant trends and issues.
- Document and reference key facts uncovered during research and analysis process.
- May participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications.
Qualifications:
- 3 years’ experience utilizing data analysis/science tools and methods
- Intermediate understanding & experience across AML and Screening domains
- Proven research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
- Advanced to Intermediate SQL skills querying Oracle databases
- Knowledge of reporting tools like: Cognos and Microstrategy is a plus
- Experience using tools like: Python, R, SAS or similar statistical applications a plus
- Ability to handle multiple projects simultaneously and analyze large sets of of complex data, draw meaningful conclusions, and make recommendations based on analysis
Education:
- Bachelor’s Degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Risk Analytics, Modeling, and ValidationFull timeTampa Florida United States$87,280.00 - $130,920.00
Anticipated Posting Close Date:
Apr 18, 2025View the " " poster. View the .
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