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Citi Group C12-AVP-Data Analytics Modelling - PUNE 
India, Maharashtra, Pune 
88150129

30.08.2024
Responsibilities:
  • Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
  • Ownership and management of fraud rules, scores, and detection strategies, Risk appetite execution, POS interdiction strategies and defect analysis.
  • Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies.
  • Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
  • Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
  • Continually assess manual and automated processes to identify potential process gaps and opportunities.
  • Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
  • Prioritize and provide a clear line of sight to the most critical work to partners and team members.
  • Mentor and coach junior team members.

Qualifications:
  • Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
  • 8+ years experience in analytics and modeling or relevant area.
  • Extensive experience working with: - Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools -Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
- Data visualization tools, such as Tableau
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis
  • Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
  • Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
  • Ability to make decisions independently with minimal guidance from management.
Decision ManagementSpecialized Analytics (Data Science/Computational Statistics)


Time Type:

Full time

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