Lead Risk Reporting Analyst, Python AI, VP (Hybrid)
Citi (company site, opens in a new tab)10+ yrsMumbaiOn-siteDirect career pageEst. 30–50 LPA
Posted on 24 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design and deliver scalable Python-based market risk reporting and dashboard solutions to replace legacy manual processes.
- Architect and optimize a dedicated reporting data layer in partnership with Technology for fast and reliable risk data access across multiple risk portfolios.
- Develop and deploy AI-driven reporting solutions for senior leadership and regulators, standardizing reporting across multiple risk teams.
Minimum Requirements
- Proficiency in Python scripting and workflow development for data analysis and automated reporting.
- Hands-on experience with Tableau dashboard development and ability to translate complex risk data into actionable visuals.
- Bachelor's degree in a relevant field (Master's preferred).
- Work Experience Required: 10 or more years in business intelligence or enterprise-scale reporting environments.
Ideal Candidate Profile
- Experienced in market risk data and metrics such as portfolio concentrations, stress testing, and limit monitoring.
- Proven ability to influence senior stakeholders and drive adoption of standardized, strategic reporting solutions.
- Senior individual contributor comfortable working autonomously at the intersection of data engineering, BI, and risk analytics in regulated, data-intensive environments.