Citi Handlowy is seeking an Analyst for their Operations Optimization & Enablement group, focusing on enhancing operational strategies and risk management related to fund movements. The ideal candidate should possess strong Python development skills and have a collaborative mindset to support data-driven decision-making and implementation of strategic initiatives
Job Summary
The Operations Optimization and Enablement group drives change by implementing operational strategy to support the firm's transformation agenda.
This role focuses on managing and refining risk associated with fund movements while defining clear payment risk appetites across the enterprise.
The successful candidate will collaborate with technology and business teams to adopt AI strategies and ensure consistent, effective operations.
Matching Summary
Match Score: 85
Citi Handlowy is seeking an Analyst for their Operations Optimization & Enablement group, focusing on enhancing operational strategies and risk management related to fund movements. The ideal candidate should possess strong Python development skills and have a collaborative mindset to support data-driven decision-making and implementation of strategic initiatives.
Skills & Requirements
Must-have
Python Development experience required
3+ years Analytics experience with Masters
4+ years Analytics experience with Bachelors
Strong written and verbal communication skills
Collaborative stakeholder management abilities
Nice-to-have
Interest in large-scale transformation programs
Familiarity with Citi Systems
Understanding of payment flows and messaging
Experience with financial products like Treasury
Willingness to learn business analysis techniques
Key Requirements
Bachelor's degree in Computer Science, Business, or related quantitative field
Master's degree preferred for reduced experience requirement
Minimum 3-4 years of Analytics experience depending on education level