Lead Risk Reporting Analyst, Python AI, VP (Hybrid)

Citi is looking for a Lead Risk Reporting Analyst to shape the future of Market Risk intelligence — designing scalable, Python-powered reporting solutions that inform senior leadership, regulators, and auditors across one of the world's most influential financial institutions. Sitting within Citi's Management Reporting function, this senior individual contributor role operates with significant autonomy to modernize how risk data is structured, visualized, and consumed at scale. You will act as a recognized subject matter expert, partnering across Risk, Technology, and Business teams to replace legacy approaches with strategic, AI-driven solutions that deliver lasting impact.

Design and deliver scalable Python-based reporting and dashboard solutions for Market Risk teams, replacing manual and legacy processes with efficient, data-driven outputs. Architect a dedicated reporting data layer in collaboration with Technology, enabling fast, reliable access to risk data across portfolio concentrations, limit exceptions, stress testing, loss reserves, and high-risk exposures. Assess and select the right tooling approach for each use case, distinguishing between reporting and dashboarding needs to ensure the correct solution is applied using Tableau, Python, or other BI platforms. Produce and contribute to risk reports for internal management, regulators, and auditors, covering Credit, Market, Operational, and other risk portfolios with accuracy and clarity. Partner with IT and Business stakeholders to standardize reporting views and build scalable frameworks that can be adopted across multiple Risk teams. Review and streamline existing reporting processes to eliminate inefficiencies, reducing complexity while maintaining accuracy and timeliness. Develop and deploy innovative, AI-based reporting solutions that modernize how risk data is analyzed and presented at the senior leadership level. Mentor team members in reporting standards, analytical methodologies, and BI tooling to build collective capability across the function. Required Qualifications & Skills Proficiency in Python , including advanced scripting and workflow development, applied to real-world data analysis and automated reporting. Hands-on capability in Tableau dashboard development, with the ability to translate complex risk data into clear, actionable visual outputs. Solid grounding in data architecture and data warehousing concepts, with the ability to design and optimize data layers that support large-scale reporting. Ability to query and optimize across multiple databases and BI tools, with working knowledge of SQL and query performance tuning. Track record of influencing senior business stakeholders and guiding teams toward the adoption of strategic, standardized reporting solutions. Bachelor's degree in a relevant field; a Master's degree is preferred. Beneficial Skills & Qualifications 10 or more years of business intelligence experience, with exposure to enterprise-scale reporting environments. Familiarity with Market Risk data, including experience working with risk metrics such as portfolio concentrations, stress testing outputs, or limit monitoring. Demonstrated experience building innovative and scalable AI-based solutions within a regulated or data-intensive environment.

This is a senior role that offers real influence over how risk intelligence is built and consumed at Citi. You will work at the intersection of data engineering, business intelligence, and risk analytics — with the autonomy to challenge conventional approaches and embed AI-driven thinking into one of the world's most consequential financial risk functions. A hybrid working model that balances 3 days in the office with 2 days working remotely, giving you structure and flexibility. Direct access to senior stakeholders across Risk, Technology, and Business, with the platform to influence firmwide reporting strategy. The opportunity to lead the adoption of AI