Citi
Banking
AssistantVicePresident-BusinessAnalytics
Neural analysis suggests this role is
optimal for Mid candidates.
“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.
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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