Russell Investments - Senior Manager - Investment Risk - Quant Strat

Role Overview:

The Investment Risk team is building a high-impact capability in India to support and enhance the Enterprise Risk Management System (ERMS). This role will play a critical part in owning key ERMS processes, delivering Portfolio risk analytics within defined SLAs, and driving strategic enhancements to risk infrastructure.

The position requires close collaboration with global teams (including Seattle-based peers), portfolio managers, research, technology, and operations teams. The candidate will contribute to both business-as-usual risk production and forward-looking, value-added initiatives, including implementing new risk models, onboarding new instruments, supporting new fund launches, and optimizing existing processes and systems.

Candidate Requirements:

- Minimum 7-8 years of experience in Investment Risk, Quantitative Development, Risk Quant, or Strats functions.

- Experience within an asset management firm, bank, or financial institution preferred.

- Proven track record of implementing risk analytics and methodologies at a firm or portfolio level.

Qualification:

Masters degree in Computational Finance, Quantitative Finance, Mathematics, Computer Science, Physics, or a related quantitative discipline.

Key Responsibilities:

- Own end-to-end ERMS processes and ensure timely, accurate risk analytics delivery within defined SLAs. Ensure stable daily production and system reliability through effective monitoring and issue resolution.

- Implement and enhance risk models, with a focus on derivatives and complex financial instruments, while supporting the onboarding of new products, strategies and methodologies.

- Drive automation and optimize system architecture to improve scalability, efficiency and operational resilience. Work with large datasets and integrate multiple internal and external data sources.

- Lead cross-functional initiatives with global stakeholders, translating business requirements into structured execution plans and ensuring delivery of high-quality outcomes within agreed timelines.

- Generate actionable risk insights to support investment decision-making and handle ad-hoc analytical and reporting requirements from senior stakeholders.

- Apply strong understanding of financial instruments, pricing models, risk methodologies, and capital markets to enhance risk analytics and support robust model implementation.

- Collaborate effectively with Investment Risk, Portfolio Management, Technology and Operations teams, demonstrating strong leadership in driving initiatives end-to-end and engaging with senior stakeholders across regions.

Technical Skills:

- Strong programming expertise in Python and SQL (mandatory).

- Good understanding of financial instruments including Derivatives, Pricing and Risk management.

- Good understanding of Risk Attributes in a portfolio setting like Greeks, VaR, stress testing etc.

- Solid understanding of algorithms, data structures and system design.

- Experience building and maintaining production-grade systems.

- Familiarity with database design and large-scale data processing.

Shift:

1.30 pm to 10.30 pm IST