Business Analytics Analyst, Citi

Citi

Location:
India, Bengaluru

Category:
Finance

Contract Type:
Employment contract

Salary:

Not provided

Save Job

Apply Position

Job Description:

The role involves performing data analysis, threshold tuning, developing Logistic Regression Model, identifying anomalies, and segmenting customers into homogenous groups using clustering techniques within Citi's AIM team.

Job Responsibility:

Working on threshold tuning for Optimization
developing Logistic Regression Model to predict customer behavior
identifying anomalies in transaction and Customer behavior
Outlier detection
ATL threshold tuning
Segmenting customers into homogenous groups using clustering
Logistic Regression Model Performance Review
applying quantitative and qualitative data analysis methods
preparing statistical and non-statistical data exploration
supporting the threshold tuning or segmentation work streams
validating data and identifying data quality issues
automating data extraction and preprocessing tasks
performing ad hoc data analyses
designing and maintaining complex data manipulation processes
developing new transaction monitoring scenarios
documenting solutions
presenting results in a comprehensive way to non-technical audiences
generating new ideas and models
identifying relationships and trends in data
questioning and validating assumptions
escalating risks in terms of methodology and processes

Requirements:

Background in analysis using data bases, warehouses, data processing
experience with statistics and data mining
knowledge in banking and finance especially in the AML area
ability to read and create formal documentation
Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance
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 behavior
identifying anomalies in transaction and Customer behavior
Outlier detection
ATL threshold tuning
Segmenting customers into homogenous groups using clustering
Logistic Regression Model Performance Review
knowledge in Python, SQL, Hive
knowledge in SAS preferred but not mandatory
strong statistics and data analytics academic background
knowledge of quantitative methods
highly skilled in MS Excel
VBA experience is a plus
experience in reporting the results in clear written form and presenting findings
team working experience
understanding of technical requirements
ability to communicate with Technical Support
good written and verbal communication
proactive attitude

Nice to have:

VBA experience
knowledge in SAS
proactive attitude

What we offer:

Equal opportunity employer
Global benefits
accessibility accommodations

Additional Information:

Job Posted:
June 24, 2025

Employment Type:

Fulltime

Work Type:

On-site work

View All Jobs In This Company

Job Link Share:

Business Analytics Analyst