As a Data Intelligence & Analytics Lead Data Science Analyst, you will apply your strategic and analytical skills to enterprise wide challenges. You will team with world-class professionals to identify actionable insights that ultimately impact the safety and soundness of the organization. You will work in a space that looks deeply into emerging risk trends and the business enablement opportunities that help fuel strategic decisions.
You will work in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation with multi-disciplinary global team with a range of industry experiences and expertise.
Specifically, the candidate should:
- Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm
- Demonstrate an ability to apply curiosity and critical thinking and turn data mining, analytics, and derivative outputs / presentations into coherent business driven implementation proposals.
- Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc.
- Conduct data mining / query functions across relational or big data databases utilizing various data science tools and methods.
- Understand the difference between information and intelligence; demonstrates previously applied research to create intelligence from big data sets and drive decision recommendations
- Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.
- The role requires the ability to develop and effectively communicate recommendations to senior leadership.
- May direct or participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications.
- Lead or participate in the training, development, mentoring of junior employees.
- May be required to participate in Industry/SME Forums as applicable.
- Lead in conversation on Law Enforcement requests.
Qualifications:
- 6-10 years’ experience using data science tools and methods preferred
- Exceptional understanding & hands-on across Financial Crime (AML / Fraud / Cyber / Sanctions / Corruption / Anti-Bribery Risks and Typologies) domain, as well as transaction monitoring processes used to mitigate these risks
- Exceptional research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
- Exceptional SQL skills using tools like Oracle SQL and Presto SQL
- Exceptional skills using tools like: Python, R, SAS or similar statistical package
- Experience with graph theory / network science analysis and tools is a plus.
- Hands-on on various statistical models & possess excellent experience.
- Experience in tools such as Tableau, Quantexa, OFSSA (Mantas), and other domain specific tools is a plus.
- Experience with Oracle is a plus.
- Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis
- Ability to handle multiple projects simultaneously in a fast-paced and dynamic financial services environment
- Experience in developing documentation that meets the highest regulatory standards and audit requirements
- Experience in developing reports and updates to senior management regarding the above activities
- Exceptional interpersonal and communication skills, in dealing with people at all levels of the organization both written and verbal.
- Intellectual curiosity, passion for problem-solving, and comfort with ambiguity
- Ability to take initiative and execute against key projects independently
- Ability to thrive in a cross-functional environment while juggling multiple responsibilities
- High energy and a desire to work in a results-oriented, fast growth environment
- Ability to work with virtual users and a global team located in different hubs
- Experience with managing an analytical team or transformational task force is a plus
- Ideally, the candidate for this position would demonstrate proficiency in one or more (Citi) lines of business, preferred
- Track record of delivering projects within tight timelines preferred
- Financial / banking background is a plus.
Education:
- Bachelor’s/University Degree or equivalent experience
- MBA or Advanced Degree in Data Science / Information Systems, Business Analysis / Computer Science preferred
- Master’s or PhD in Data Analytics / Data Science a plus
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Data AnalyticsFull timeTampa Florida United States$113,840.00 - $170,760.00
Anticipated Posting Close Date:
Jul 25, 2025View Citi’s and the poster.