Senior Aml Data Science Analyst

The Senior Analyst will join the Global AML Business Systems, Data & Analytics’ under the ML Detection and Client Insights function. The role will have a key focus of supporting the continued development of the technical solutions that support AML. The Senior Analyst will work closely with the AML Functions and all levels of AML staff from across all the regions, including our Regional and Country Hubs. The role will work alongside Compliance and Technology in support of the project and initiatives. The individual will also interact with Compliance teams and potentially other Citi businesses outside of AML. The Senior Analyst will play a strategic role in Global AML Business Systems, Data & Analytics’ in formulating platform strategy, projects and programs with a Technology focus, addressing business/functional requirements across the AML product family_ (Monitoring, Detection, KYC etc.)_ **Overview** **Responsibilities**: - Utilize features and algorithms to drive down false positives and identify financial crime threats across the firm. - 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. **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 - 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 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 Mgmt - **Time Type**: Full time - Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the "**EEO is the Law**" poster. View the **EEO is the Law Supplement**. View the **EEO Policy Statement**. View the **Pay Transparency Posting