Senior AML Data Science Analyst

hace 1 mes

Ciudad de México, Ciudad de México Citibank A tiempo completo
Job Summary

The Senior AML Data Science Analyst will play a key role in supporting the continued development of technical solutions that support AML. This role will work closely with the AML Functions and all levels of AML staff from across all regions, including Regional and Country Hubs. The ideal candidate will have previous experience with Technology implementations, business and data analysis, preferably with experience in the AML arena.

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.
Requirements
  • 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.
  • Master's Degree preferred.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Fluent English.

Job Family Group: Compliance and Control

Job Family: AML Compliance & Risk Management

Time Type: Full time

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