Senior Data Scientist Assistant Vice President

Citi • Tampa, FL

1d • $87,280 - $130,920

About The Position

The AML Data Scientist works under the supervision of a Functional Team Manager to provide analysis across projects, including Key Performance Indicator Driven Tuning, Tactical Tuning, and data modeling and validation, depending on current needs and project plans. The role follows a globally consistent methodology while applying initiative and creativity to recommend methodological enhancements. It involves evaluating moderately complex and variable issues with potentially substantial impact, weighing alternatives and balancing competing considerations using information from multiple sources. Strong analytical and communication skills are required, and the individual’s performance directly affects the work of other teams in the area.

The role applies quantitative and qualitative methods to AML risk-related data, develops machine learning models, supports AML optimization, and communicates findings and recommendations to technical and non-technical audiences. The position also requires risk awareness, compliance with applicable policies and regulations, sound ethical judgment, and transparent escalation and reporting of control issues.

This is a full-time position in Tampa, Florida. The listed annual salary range is $87,280 to $130,920. Citi may also offer eligible employees incentive and retention awards, along with medical, dental, vision, 401(k), insurance, wellness, paid-time-off, and holiday benefits. Offerings may vary by jurisdiction, job level, and hire date.

Requirements

• Strong academic background in statistics, data science, or a related quantitative field, with knowledge of quantitative methods, including predictive modeling and calculation and interpretation of outcomes.
• Experience creating and assessing statistical models.
• Good working knowledge of Python, SQL, and the MS Office Suite.
• Experience reporting analytical results clearly in writing and presenting findings in meetings and conference calls.
• Teamworking experience and demonstrated ability to work as a team player.
• Understanding of technical requirements and ability to communicate with Technical Support.
• Ability to manipulate data using SQL or an equivalent tool.
• Initiative, creativity, and attention to detail.
• Ability to work under close supervision while maintaining independent thinking and responsibility for results.
• Ability to discuss reasoning and critically assess facts and opinions, and to provide comprehensive answers and arguments.
• Conceptual and creative thinking, including thinking outside the box.
• Ability to communicate effectively orally and in writing across organizational levels and business units.
• Self-motivation and a strong desire for self-development and learning.
• Ability to work non-standard business hours, including weekends and holidays, as determined by business needs.
• Bachelor’s degree (four-year university) in Statistics, Mathematics, Data Science, Data Analytics, Business Analytics, or a related quantitative field.

Nice To Haves

• Master’s degree preferred.
• Experience with data exploration.
• Experience with Mantas, AML monitoring systems, or other transaction monitoring systems.
• Knowledge of local or regional laws and regulations applicable to anti-money laundering.
• Previous experience with financial services companies, including retail banking, small business banking, commercial, institutional, or private banking.
• Knowledge of a programming language or dedicated statistical software.

Responsibilities

• Apply quantitative and qualitative data analysis methods, including Python, R, and SQL, to extract, transform, and analyze data.
• Prepare data for visualization and exploration, validate it, and identify data-quality issues in AML risk-related projects.
• Contribute to AML optimization techniques and deliverables, including optimizing monitoring systems, documenting solutions, and presenting results to non-technical audiences.
• Write formal documentation using statistical vocabulary.
• Build machine learning models, including predictive, classification, and regression models.
• Conduct data analysis and data mining; create formal statistical documentation; and work with Technology and Sponsors to address issues.
• Analyze and interpret data reports and make recommendations that address business needs.
• Validate assumptions and escalate identified risks and sensitive areas in methodology and process.
• Automate recurring data extraction and preprocessing tasks, perform ad hoc analyses, and provide documentation and presentations.
• Assess risk in business decisions, comply with applicable laws, rules, regulations, and policies, and apply sound ethical judgment.
• Escalate, manage, and report control issues transparently.
• Coordinate work while managing conflicting time demands and, as business needs determine, work non-standard hours, including weekends and holidays.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Life insurance
• Accident insurance
• Disability insurance
• Wellness programs
• Paid time off, including vacation and sick leave
• Paid holidays
• Eligible employees may receive discretionary and formulaic incentive and retention awards

What This Job Offers

• Job Type: Full-time
• Career Level: Senior