Spec Analytics Intmd Analyst, Citi

Citi

Location:
India, Gurgaon

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The role of Anti Money Laundering (AML) Scenario Development & Enhancement (SDE) Statistician is part of Strategic Business Solutions group of AIM, based in Bangalore and reporting into the AVP/VP leading the team. The SDE statistician will follow the globally consistent methodology, but is expected to have a high level of initiative and creativity and suggest enhancements to the current methodologies. The role requires working closely with business partners based in other geographies that Citi operates in (e.g., U.S., APAC, and EMEA).

Job Responsibility:

Working on threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour, identifying anomalies in transaction and Customer behaviour, Outlier detection, ATL threshold tuning, Segment customers into homogenous groups using clustering, Logistic Regression Model performance Review etc.
Apply quantitative and qualitative data analysis methods, prepare statistical and non-statistical data exploration and advanced statistical analysis to support the threshold tuning or segmentation work streams
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
Automate data extraction and data preprocessing tasks
Perform ad hoc data analyses
Design and maintain complex data manipulation processes
Provide consistent documentation and presentations
Develop new transaction monitoring scenarios based on emerging Financial Crime Risk
Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary
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

Requirements:

4-6 Yrs. Experience in Analytics Industry
Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking)
Experience in threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour, identifying anomalies in transaction and Customer behaviour, Outlier detection, ATL threshold tuning, Segment customers into homogenous groups using clustering, Logistic Regression Model performance Review etc.
Good Knowledge in SAS, SQL, Hive
Knowledge in Python is preferred but not mandatory
Strong statistics and data analytics academic background and knowledge of quantitative methods
Highly-skilled and good knowledge of MS Excel
VBA experience is a plus
Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls
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

Nice to have:

Knowledge in Python
VBA experience

What we offer:

Global benefits
Equal opportunity employer

Additional Information:

Job Posted:
August 01, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Spec Analytics Intmd Analyst