Senior Python Market Risk Quant Engineer - Senior Vice President

About the Position

We are seeking a Senior Python Market Risk Quant Engineer - Senior Vice President to join our team in Pune, India. This role focuses on developing scalable applications for financial risk management.

Responsibilities

• Lead integration of functions to meet goals, deploy new products, and enhance processes
• Analyze complex business processes, system processes, and industry standards to define and develop solutions to high-level problems
• Provide expertise in advanced knowledge of applications programming and plan assignments involving large budgets, cross-functional projects, or multiple projects
• Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
• Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
• Consult with end users to identify system function specifications and incorporate into overall system design
• Allocate work, and act as an advisor/coach to developers, analysts, and new team members
• Influence and negotiate with senior leaders and communicate with external parties
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency.

Requirements

• 12+ years of professional experience with a proven track record of designing, building, and running applications on massive-scale compute grids.
• Expert-level, hands-on experience with at least one major public cloud provider (AWS or GCP), including their batch processing, container, and serverless offerings.
• Deep expertise in containerization and orchestration technologies (Docker, Kubernetes).
• Strong programming skills in languages common to high-performance computing, such as Python.
• Extensive development expertise in building efficient software platforms for data computation and processing.
• Multiple years of experience with developing Quantitative/Calc-intensive solutions with a focus on using Python core concepts and advanced computation libraries usage.
• Prior experience in a similar role within the financial industry (e.g., running large-scale Monte Carlo simulations, VaR calculations, or XVA pricing grids) is highly desirable.
• A degree in Computer Science, Engineering, or a related technical field.
• A strong background in distributed systems, performance tuning, and infrastructure-as-code principles.
• Exceptional problem-solving skills, with an ability to diagnose and resolve complex issues in a high-pressure, large-scale environment.
• Excellent communication skills and the ability to work effectively with quantitative research, trading, and risk management teams.

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Professional development opportunities
• Comprehensive health and wellness benefits

About the Company

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community, and make a real impact.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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