AVP, AML Namescreening Data Analyst

adesso SE; Tampa (FL); On-site; USD 87,000 - 131,000; Full time

Job summary

A leading company seeks a Compliance Anti Money Laundering Risk Management Senior Analyst in Tampa, Florida. This role involves establishing internal procedures to combat money laundering and requires strong analytical skills and experience in data analysis. The candidate will work closely with stakeholders to assess risks and enhance detection methods. Competitive salary and benefits offered.

Benefits

Medical Coverage

Dental Coverage

Vision Coverage

401(k)

Life Insurance

Disability Insurance

Wellness Programs

Paid Time Off

Qualifications

• 3 years' experience utilizing data analysis/science tools.
• Intermediate understanding of AML and Screening domains.
• Advanced SQL skills querying Oracle databases.

Responsibilities

• Identify and address potential risks with stakeholders.
• Analyze data and prepare reports related to AML risk.
• Conduct data mining across relational or big data databases.

Skills

Data Analysis

Critical Thinking

Analytical Skills

Problem Solving

Business Acumen

Education

Bachelor's Degree

Tools

SQL

Python

R

SAS

Cognos

Microstrategy

Job description

The Compliance Anti Money Laundering Risk Management Senior Analyst is an intermediate level role responsible for recommending/establishing internal procedures to prevent money laundering and assist in all matters concerning financial crimes in coordination with the broader Anti-Money Laundering (AML) team. The overall objective is to utilize established disciplinary knowledge to identify inconsistencies in data or result and formulate strategic recommendations on policies, procedures, and practices.

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.

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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Primary Location:

Tampa Florida United States

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Primary Location Full Time Salary Range:

$87,280.00 - $130,920.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Anticipated Posting Close Date:

May 14, 2025

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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