Data Science Lead Analyst – Financial Crimes Detection

Data Science Lead Analyst – Financial Crimes Detection

Requirements

• 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

Responsibilities

• Demonstrate critical thinking, analytical, and problem-solving abilities, hands-on intelligence led data analysis skills, network analysis acumen, and intellectual curiosity is essential for data science tasks
• Apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection
• 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
• 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

Preferred Qualifications

• 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