Senior Quantitative Analyst, Front Office Market Risk – VP

Citi; New York (NY); Hybrid; USD 175,000 - 250,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Citi's Markets Quantitative Analysis (MQA) division seeks a Senior Quantitative Analyst, Market Risk at VP level to join the Front Office In-Business Market Risk team. This role blends quantitative finance, software engineering, and AI to transform how market risk is measured and acted upon.

You will build analytics tools, GenAI-enabled applications, and risk frameworks influencing trading decisions and capital strategy across Citi's Markets businesses, with exposure to multiple asset classes.

Qualifications

• Ten or more years of quantitative modeling experience in market risk with VaR, stress testing, PnL attribution, and capital calculations.
• Experience leading cross-functional delivery initiatives across trading, risk, quant, and technology teams.
• Advanced Python programming with pandas and numpy; SQL and collaborative development workflows using Git or Bitbucket.
• Extensive knowledge of market risk regulatory frameworks, especially FRTB IMA.
• Experience building business-facing platforms combining quantitative methods with AI-driven capabilities.
• Familiarity with GenAI concepts including prompt engineering and agentic workflows.
• Strong communication for traders and senior risk managers with tech stakeholders.
• Product expertise across asset classes such as Rates, Credit, FX, Equity, Commodities, or Securitized products.

Responsibilities

• Build analytical tools and GenAI-enabled applications providing real-time visibility into market risk exposure, stress loss, and capital metrics.
• Design and deploy AI-assisted workflow solutions integrating LLMs with market risk analytics platforms and data infrastructure.
• Develop scalable GenAI pipelines with agentic workflows, MCPs, agent skills, ensuring production-grade, explainable, governed implementations.
• Collaborate with traders, risk managers, and quants to analyze models, capital methodologies, and risk factors.
• Contribute production-quality Python code to large-scale analytics libraries with maintainable architecture.
• Coordinate end-to-end delivery of market risk and GenAI initiatives across Trading, In-Business Risk, MQA, and Technology.
• Evaluate GenAI technologies and champion adoption of practical solutions for improved risk management.

Skills

Python

pandas

numpy

SQL

Git

Bitbucket

VaR

Stress testing

PnL attribution

Capital calculations

Risk factor sensitivities

GenAI concepts

Agentic workflows

Communication

Asset class expertise

Cross-functional leadership

Education

PhD or Master's in Statistics/Mathematics/Physics/CS/Quantitative Finance/OR/Engineering

Tools

Git/Bitbucket workflows

Job description

Citi's Markets Quantitative Analysis (MQA) division is seeking a Senior Quantitative Analyst, Market Risk at the VP level to join the Front Office In-Business Market Risk team - a group at the forefront of combining quantitative rigor with next-generation AI to transform how market risk is measured, managed, and acted upon. In this role, you will build and lead delivery of analytics tools, GenAI-enabled applications, and risk frameworks that directly shape trading decisions and capital strategy across Citi's global Markets businesses. This is a high-impact, highly visible position that sits at the intersection of quantitative finance, software engineering, and applied artificial intelligence.

Responsibilities

• Build analytical tools and GenAI-enabled applications that give traders and risk managers real-time visibility into market risk exposure, stress loss, and capital metrics - directly informing portfolio-level hedging strategies.
• Design and deploy AI-assisted workflow solutions that integrate large language models with market risk analytics platforms, quantitative libraries, and market data infrastructure to accelerate business decision-making.
• Develop scalable GenAI pipelines using modern techniques including agentic workflows, MCPs, agent skills, and structured interfaces - ensuring solutions are production-grade, explainable, and governed to Citi's AI standards.
• Collaborate with traders, risk managers, and quant teams to perform in-depth analysis of market risk models, capital methodologies, and risk factor frameworks - identifying and implementing measurable improvements.
• Contribute production-quality Python code to large-scale, in-house analytics libraries, maintaining high standards of architecture, modularity, and long-term maintainability.
• Coordinate end-to-end delivery of strategic market risk, regulatory capital, and GenAI initiatives across Trading, In-Business Risk, MQA, and Technology - managing priorities, stakeholder communication, and execution milestones to meet business and regulatory deadlines.
• Evaluate emerging GenAI technologies and champion adoption of practical solutions that generate measurable gains in risk management effectiveness, analytics capability, and operational efficiency.

Required Qualifications & Skills

• Ten or more years of quantitative modeling experience in market risk within financial services, with deep expertise in VaR, stress testing, PnL attribution, capital calculations, risk factor sensitivities, and large-scale risk analytics platforms.
• Demonstrated strong project management capability, to lead complex, cross-functional delivery initiatives across trading, risk, quant, and technology teams - managing competing priorities and driving projects from concept through production deployment.
• Advanced Python programming skills, including hands-on use of pandas and numpy for large dataset processing, alongside experience with SQL and collaborative development workflows using Git or Bitbucket.
• Extensive knowledge and experience of market risk regulatory frameworks, particularly FRTB IMA, with the ability to ensure model and methodology alignment to current and evolving regulatory requirements.
• Hands-on experience building business-facing platforms including web applications, chat-based tools, or reporting automation frameworks that combine quantitative methods with AI-driven capabilities.
• Familiarity with modern GenAI concepts including prompt engineering, agentic workflows, and responsible AI evaluation practices.
• Clear, smooth, and precise written and verbal communication skills, with the ability to translate complex quantitative and technical concepts for traders, senior risk managers, and technology stakeholders.
• Product expertise across one or more major asset classes such as Rates, Credit, FX, Equity, Commodities, or Securitized products.

Education

• A PhD or Master's degree in Statistics, Mathematics, Physics, Computer Science, Quantitative Finance, Operations Research, Engineering, or a related quantitative discipline.

What We Offer

• Joining Citi's MQA team means working at the center of one of the world's largest financial institutions, where your analytical and technical contributions directly influence how market risk is managed across global trading businesses. This is an environment that rewards ownership, technical ambition, and the ability to deliver at scale.
• A leadership role in shaping GenAI and analytics strategy, with direct influence over the tools and frameworks used by front-office teams across Citi's global Markets organization.
• Exposure to the full breadth of Citi's Markets businesses - spanning Equities, Rates, Credit, FX, and Commodities - providing unmatched scope for technical and commercial development.
• Hybrid working model with 3 days in the office and 2 days working remotely, supporting both collaboration and flexibility.
• Access to cutting-edge GenAI infrastructure and the opportunity to work at the frontier of AI application in quantitative finance - including large language model integration, agentic workflows, and risk analytics automation.
• A performance-driven team culture that values technical depth, cross-functional collaboration, and the delivery of solutions with measurable business impact.
• Continuous learning and professional development opportunities, including engagement with emerging AI technologies, regulatory developments, and best-in-class quantitative methodologies.
• Competitive compensation and financial wellbeing benefits aligned to a senior VP-level role at a leading global financial institution.

Job Family Group: Institutional Trading

Job Family: Quantitative Analysis

Time Type: Full time

Primary Location: New York New York United States

Primary Location Full Time Salary Range: $175 000,00 - $250 000,00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills: Please see the requirements listed above.

Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date: oct 10, 2026

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