Citi Group System Data & Analytics Senior Analyst AVP 

United States, Florida, Tampa 

157440030

Responsibilities:

• Utilize features and algorithms to drive down false positives and identify financial crime threats across the firm.

• Demonstrate an ability to apply curiosity and critical thinking in data mining, analytics, and derivative outputs.

• Conduct data mining / query functions across relational or big data databases utilizing various data science tools and methods.

• Supports global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.

• Supports global team members during feature and algorithm research, design, and implementation as needed.

• Supports tactical and strategic initiatives and projects focused on financial crime detection.

• 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:

• Experience utilizing data science tools and methods

• Intermediate 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

• Analytics experience in the financial crime domain is a plus.

• Proven research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities

• Intermediate SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop

• Intermediate skills using tools like: Python, R, SAS or similar statistical applications

• Experience with modeling is a plus.

• Ability to analyze large sets of complex data, draw meaningful conclusions, and make recommendations based on analysis

• 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 thrive in a cross-functional environment while juggling multiple responsibilities

• High energy and a desire to work in a results-oriented, fast growth environment

Education:

• Bachelor’s Degree in Statistics, Mathematics, Data Science, Data Analytics, Business Analytics, or related quantitative fields required

Anticipated Posting Close Date:

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