Are you passionate about data science and anti-money laundering (AML)? Citi is looking for a talented AML Data Scientist to join our team in Tampa, Florida! This role offers a unique opportunity to apply your quantitative skills and machine learning expertise to optimize AML systems and drive impactful decision-making. If you have a strong background in statistical analysis, data exploration, and predictive modeling, then we want you to help us enhance our AML monitoring systems and contribute to a more secure financial landscape.
Why Citi?
Citi is committed to providing innovative solutions to the ever-evolving world of anti-money laundering. As an AVP - AML Data Scientist, you will play a vital role in optimizing monitoring systems and presenting complex data insights to stakeholders at all levels. This is your chance to make an impact with advanced data science techniques while working in a collaborative hybrid work environment.
What You’ll Do:
Lead AML Optimization Projects:
- Apply quantitative and qualitative methods such as Python, SAS, R, and SQL to extract, transform, and analyze AML-related data.
- Optimize and automate AML monitoring systems, propose improvements, and present actionable recommendations to stakeholders.
- Develop machine learning models for predictive analysis and use classification and regression techniques to improve risk detection and monitoring.
Data Analysis & Reporting:
- Conduct data mining, create statistical models, and validate data for accuracy in AML-related projects.
- Analyze large datasets to identify risks, patterns, and trends, and validate assumptions for continuous improvement in our AML process.
- Prepare and present findings in formal reports and visualizations, explaining complex data concepts to non-technical audiences.
Collaboration & Problem Solving:
- Collaborate with Technology and AML Sponsors to troubleshoot issues, refine processes, and validate outcomes.
- Work on ad-hoc analyses and automate recurring tasks to ensure efficient data handling and reporting.
- Maintain compliance with AML regulations and ethical guidelines to support business decisions and minimize risks.
Qualifications:
Required:
- Bachelor’s Degree in Statistics, Mathematics, Data Science, Data Analytics, Business Analytics, or related field (Master’s Degree preferred).
- 3+ years of experience in data analysis, predictive modeling, and statistical modeling.
- Proficient in Python, SAS, R, and SQL for data manipulation and analysis.
- AML monitoring system experience (knowledge of Mantas or other transaction monitoring systems a plus).
- Strong communication skills to present complex findings to both technical and non-technical audiences.
Desirable:
- Experience in financial services, including retail banking, small business banking, or commercial banking.
- Experience with data exploration and using statistical tools to derive insights and solve business problems.
- Knowledge of AML regulations and compliance practices is a plus.
Skills:
- Strong analytical and problem-solving skills with attention to detail.
- Ability to manage competing priorities and work independently with minimal supervision.
- Demonstrated teamwork skills and the ability to work collaboratively across departments.
- Excellent written and verbal communication skills, with the ability to explain complex data insights clearly.
Why Citi?
At Citi, we believe in supporting our employees' growth and well-being. We offer competitive compensation and a wide range of benefits, including:
- Medical, dental, and vision coverage
- 401(k) with company matching
- Life, accident, and disability insurance
- Wellness programs and paid time off
We are committed to providing a diverse and inclusive environment, where all employees have the opportunity to thrive and make a difference.
Ready to Make an Impact?
Take the next step in your career and join Citi’s AML Data Science team! Apply today to leverage your skills in data analysis, machine learning, and AML optimization to drive change in the financial services industry.
Salary Range: $87,280 - $130,920
Location: Tampa, FL (Hybrid)
Anticipated Posting Close Date: Jan 31, 2025
