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Senior AML Data Science Lead
hace 2 meses
Citigroup Inc. is seeking a highly skilled Senior AML Data Science Analyst to join our team. As a key member of our Global AML Business Systems, Data & Analytics team, you will play a strategic role in formulating platform strategy, projects, and programs with a Technology focus, addressing business/functional requirements across the AML product family.
Key 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.
- Support global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.
- Support global team members during feature and algorithm research, design, and implementation as needed.
- Support 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.
- 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.
Bachelor's Degree in Statistics, Mathematics, Data Science, Data Analytics, Business Analytics, or related quantitative fields required. Master Degree preferred.
