Vice President - AML Lead Data Science Analyst
Company: Citi
Location: Lutz
Posted on: May 16, 2022
Job Description:
At Citi, we are monitoring transactions across traditional and
emerging platforms. The Global Data Intelligence & Analytics Team
uncovers money laundering, fraud, and other illegal activities by
leveraging subject matter expertise, data analysis, advanced
algorithms, and behavior-based analytics. 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 team
with world-class professionals to identify actionable insights that
ultimately impact the safety and soundness of the organization. You
will work in a space that looks deeply into emerging risk trends
and the business enablement opportunities that help fuel strategic
decisions. You will work in a collaborative environment that values
your insight, encourages you to take on new responsibilities,
promotes continuous learning, and rewards innovation with
multi-disciplinary global team with a range of industry experiences
and expertise. Responsibilities: The Lead Data Science Analyst must
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. The candidate must be able to apply these abilities
to detect non-obvious risks or develop, test, and champion 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:
- 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.
- The role requires the ability to 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.
- Head or participate in the training, development, mentoring of
junior employees.
- May be required to participate in Industry/SME Forums as
applicable.
- Head in conversation on Law Enforcement requests.
Qualifications:
- 6-10 years' experience using data science tools and
methods
- 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 Teradata, MS SQL,
MySQL, Hadoop
- 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 Palantir, I2 Analyst Workbook,
Semantica, ArcGIS 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 Preferred Skills:
- Passionate and Committed
- 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.
- Track record of delivering projects within tight
timelines.
- Financial / banking background is a plus. Education:
- Bachelor's/University Degree or equivalent experience,
potentially MBA or Advanced Degree in Data Science / Information
Systems, Business Analysis / Computer Science.
- Master's or PhD in Data Analytics / Data Science
------------------------------------------------- Job Family Group:
Technology ------------------------------------------------- Job
Family:Data Science
------------------------------------------------------ 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.Citigroup Inc. and its subsidiaries ("Citi")
invite all qualified interested applicants to apply for career
opportunities. If you are a person with a disability and need a
reasonable accommodation to use our search tools and/or apply for a
career opportunity review Accessibility at Citi .View the " EEO is
the Law " poster. View the EEO is the Law Supplement .View the EEO
Policy Statement .View the Pay Transparency Posting
----------------------------- Effective November 1, 2021, Citi
requires that all successful applicants for positions located in
the United States or Puerto Rico be fully vaccinated against
COVID-19 as a condition of employment and provide proof of such
vaccination prior to commencement of employment.
Keywords: Citi, Brandon , Vice President - AML Lead Data Science Analyst, Professions , Lutz, Florida
Didn't find what you're looking for? Search again!
Loading more jobs...