AVP, AML Namescreening Data Analyst

  • Tampa, FL
  • Posted 2 days ago | Updated 5 hours ago

Overview

Remote
On Site
USD 87,280.00 - 130,920.00 per year
Full Time

Skills

Collaboration
Problem Solving
Conflict Resolution
Visualization
Finance
Risk Assessment
Regulatory Compliance
Management
Critical Thinking
Data Mining
Big Data
Data Science
Development Testing
Training
Data Analysis
Science
AML
Screening
Research
Analytical Skill
Business Acumen
Project Management
Multitasking
SQL
Oracle
Database
Reporting
IBM Cognos Analytics
MicroStrategy
Python
R
SAS
Risk Management
Analytics
Modeling
Insurance
Accessibility
Law

Job Details

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.

Job Family Group:
Risk Management

Job Family:
Risk Analytics, Modeling, and Validation

Time Type:
Full time

Primary Location:
Tampa Florida United States

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.

Anticipated Posting Close Date:
Apr 18, 2025

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

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