Citi

Banking

AssistantVicePresident-BusinessAnalytics

₹25–40L ~AI est. India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Assistant Vice President - Business Analytics at Citi. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data models. Build and maintain data pipelines”

What You'll Achieve.

Drive business decisions with data; Improve data accessibility; Enhance predictive capabilities

Industry & Context.

Banking
Problems you'll solve

Analytical thinking; Root cause analysis

What They're Looking For.

Must Have

5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field

Nice to Have

Master's degree or PhD preferred, Experience with cloud platforms (AWS, Azure, GCP), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified

What You'll Do.

Develop and implement data models

Build and maintain data pipelines

Design and deploy machine learning models

Create and manage BI dashboards

Perform statistical analysis

Collaborate with stakeholders

Ensure data quality and integrity

Optimize data infrastructure

Stay updated on industry trends

How You'll Work.

Team & Collaboration

Cross-functional teams; Business stakeholders; Data engineering teams; Analytics teams

Communication Scope

Stakeholder presentations; Technical documentation

Full Job Description

**_Job Description_** Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C12 (Individual Contributor) AVP is within Retail Bank Fraud Analytics team in Citi AIM.The primary area of focus for this position is to analyze transaction data, understand fraud pattern , develop fraud loss mitigation strategies with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact. The person will also be responsible for monitoring strategy performance, collaborate with strategy implementation team for strategy implementation, proactively come up with fraud loss mitigation measure leveraging new data sources, advanced analytics techniques wherever applicable. **_Job Description Summary:_** * The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance. * Individual should be able to have a holistic view of different retail banking products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations. * Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tab

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