Analyst - Operations Optimization & Enablement – Python - Aim

Citi Handlowy

Gurgaon, Haryana, India
Python development experience
Data & analytics strategy
Payment risk management
The Operations Optimization and Enablement (OOE) group is dedicated to driving change and implementing operational strategy, supporting the Citi transformation agenda by assisting with programs that redefine core operations architecture and the processes they support

Job Summary

  • The Operations Optimization and Enablement (OOE) group is dedicated to driving change and implementing operational strategy, supporting the Citi transformation agenda by assisting with programs that redefine core operations architecture and the processes they support.
  • The team aims to define clear payment risk appetites, consolidate and report payment risks, and harmonize controls across the enterprise, contributing to a cohesive framework for risk management.
  • We are looking for an individual who is eager to learn, contribute to new ideas, and collaborate with multiple stakeholders to support the adoption of AI with the Data & Analytics strategy.

Matching Summary

The Operations Optimization and Enablement (OOE) group is dedicated to driving change and implementing operational strategy, supporting the Citi transformation agenda by assisting with programs that redefine core operations architecture and the processes they support.

Skills & Requirements

Must-have

  • Python Development experience
  • Data & Analytics strategy
  • Payment risk management
  • Operations processing risk

Nice-to-have

  • AI adoption
  • Collaboration with stakeholders
  • Problem solving and conflict resolution
  • Adaptability and learning
  • Interest in large-scale transformation

Key Requirements

  • 2+ years Analytics experience (Masters)
  • 4+ years Analytics experience (Bachelors)
  • Python Development is a must
  • Strong communication skills
  • Ability to work collaboratively
  • Bachelor's/University degree

Work Rights

Not specified

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