At Citi, we are monitoring transactions across traditional and emerging platforms. We work globally with partners in business, compliance, and investigations to provide best in class experience for our customers while identifying potential risk to the firm.
The ideal candidate is a problem solver, equipped with proven analytical skills suited to approach varied challenges in complex environments. Adept at creative and critical thinking, can deconstruct the problem and transform personal insights into solutions.
As a Data Intelligence & Analytics Lead Data Science Analyst, you will apply your strategic and analytical skills to enterprise wide challenges. You will work in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.
Responsibilities:
The Lead Data Science Analyst must demonstrate critical thinking, intellectual curiosity, analytical and problem-solving abilities, hands-on intelligence led data analysis skills, network analysis acumen. The candidate must be able to apply these abilities to detect non-obvious risks, champion and implement ideas to increase detection. The candidate should be able to understand machine learning, graph/network theory, predictive modeling, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect financial crime risk.
Specifically, the candidate should:
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
Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities
The role requires the ability to develop and effectively communicate recommendations to senior leadership
Head or participate in the training, development, mentoring of junior employees
Qualifications:
At least 6 years’ analytical experience using data science tools and methods
Exceptional SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop.
Exceptional skills using tools like: Python, R, SAS or similar statistical package
Experience with graph theory, network science, NLP, Oracle analysis and tools
Hands-on on various statistical models & possess excellent experience.
Exceptional research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
Ability to take initiative and execute against key projects independently
Understanding of Financial Crime domain is a plus
Personal Skills:
Exceptional interpersonal and communication skills both written and verbal
Passionate and Committed
Fluent English
Education:
Master’s/University degree or equivalent or Ph.D. in Data Science / Information Systems / Statistics / Mathematics / Computer Science.
We offer:
Work in a challenging area of the financial industry with one of the world's leading companies with exposure to variety of products, processes and controls
Cooperation with a high quality, international, multicultural and global team
Work in a friendly and diversified environment, appreciating differences in style and perspective and using them to add value to decisions leading to organizational success
Management supporting balanced and agile work (flexible working hours, home office)
Attractive benefits package (Benefit System, medical care, pension plan etc.)
A chance to make a difference with various affinity networks and charity initiatives
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Technology-
Job Family:
Data Science-
Time Type:
Full time-
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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.
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