Job Overview
Citi Analytics & Information Management (AIM) team is a global community
that objectively connects and analyzes information, to create actionable
intelligence for our business leaders. The Anti Money Laundering (AML)
Financial Crime Data Analytics and Intelligence (FCDAI) senior analyst (C11 –
Individual Contributor) will be a part of AIM, based in Gurugram and reporting
into the VP/SVP leading the team.
The scope of work includes all aspects of analysis performed by the team
within different projects related to AML transaction monitoring using advanced
statistical analysis and AI techniques. Senior analysts will be responsible
for working on various tools and technologies for successful development and
implementation of Machine learning (ML) /AI/Gen AI based solutions on
different platforms, analyzing transaction data, and developing models with
the objective of identifying suspicious transaction activities. Person also
needs to communicate clearly and effectively with business partners and senior
leaders. This role requires working closely with business partners based on
other geographies that Citi operates in (e.g., NAM, APAC, and LATAM).
Requirements include background Experience and knowledge in banking and
finance, especially in the AML area will be a plus. In addition, the
ability to read and create formal documentation is highly desirable.
Responsibilities:
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Apply quantitative and qualitative data analysis methods; prepare
statistical and non-statistical data exploration and advanced statistical
analysis to identify suspicious customer behavior
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Designing, developing and implementing Machine Learning/AI/Gen AI solutions
that meet and exceed expectations. Extensive knowledge of code and execution
of the current state of art ML/AI/Gen AI algorithms and Generative AI across
different coding platforms
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Have extensively worked on advanced programming language & databases
(SQL, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue,
Impala, Ozzie, etc.) and Spark. Communicate complex analytical concepts and
results to both technical and non-technical audiences
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Maintain an industry leading knowledge of the tools, systems and processes
available for best-in-class AML Detection and Monitoring Operations.
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Validate data, identify data quality issues (if any), and work with
Technology to address them. Analyze and interpret data reports, draw
conclusions and make recommendations answering specific business needs.
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Automate data extraction and data preprocessing tasks. Perform adhoc data
analysis. Design and maintain complex data manipulation processes. Provide
consistent documentation and presentations.
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Identifies data patterns & trends, and provides insights to enhance
business decision making capability in business planning, process
improvement, solution assessment
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Document solutions and present results in a simple comprehensive way to
non-technical audience, as well as write more formal documentation using
statistical vocabulary.
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Generate new ideas, concepts and models to improve methods of obtaining and
evaluating quantitative and qualitative data. Identify relationships and
trends in data, as well as any factors that could affect the results of
research. Question and validate assumptions. Escalate identified risks and
sensitive areas in terms of methodology and processes.
Qualifications:
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5+ years of experience in Financial Services / Analytics Industry
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Holds good exposure to AI - Gen AI and Agentic AI tools and techniques
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Strong Statistical modelling, Data Analytics, analytical aptitude and
logical reasoning ability
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Strong understanding of current state of the art ML/DL/Gen AI algorithms
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Good Knowledge in Python, SQL, Hive
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Masters in a numerate subject such as Mathematics, Operational Research,
Business Administration, Economics etc. from Premier Institute or a track
record of performance that demonstrates this ability.
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Previous experience with financial services companies (retail banking, small
business banking, commercial, institutional, private banking)
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Strong statistics and data analytics academic background and knowledge of
quantitative methods
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Highly skilled and good knowledge of MS Excel. VBA experience is a plus
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Experience in reporting the results of analysis in clear written form, and
in presenting the findings during meetings and conference calls
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Team working experience (demonstrated team player ability required)
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Understanding technical requirements, ability to communicate with Technical
Support
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Very good written and verbal communication ability in an educational style.
Ability to express thoughts and concepts clearly.
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Ability to work well with a variety of people and to show team-player
attitude regardless of the scope of responsibilities.
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Provide input into the innovation of new and enhanced approaches. Having
initiative and a proactive attitude is desirable
Job Family Group:
Decision Management
Job Family:
Specialized Analytics (Data Science/Computational Statistics)