Senior Analyst, Risk Analytics

Public Sector Pension Investment Board • Montreal, QC

6d • Hybrid

About The Position

The Risk Analytics team is responsible for producing advanced analytics and providing quantitative insight to support valuation, pricing, and risk assessment activities across Public Markets portfolios. Risk Analytics plays a critical role in ensuring fair market valuation of financial instruments, developing and maintaining analytical tools and methodologies, and supporting disciplined monitoring of portfolio risk exposures. The team partners closely with Asset class stakeholders, Risk, and Technology teams to deliver analytics that support decision making, regulatory compliance, model governance, and the integrity of valuation and risk outputs across the Total Fund.

As a Senior Analyst, Risk Analytics, you will be a hands-on contributor within this team, combining strong operational execution with a growing financial engineering mindset. Your work will span the full analytics lifecycle: helping develop and internalize sound risk analytics, running and enhancing quantitative pipelines, and ensuring efficient and optimized quantitative processes that produce reliable outputs across asset classes. You will work closely with senior team members, Risk stakeholders, and Technology partners to maintain data quality throughout the analytics chain, support the improvement of risk methodologies and deliver reporting outputs that support Total Fund decision-making. While daily production rigor is central to the role, you will also be expected to contribute a financial engineering perspective — translating analytical requirements into implementable solutions, assessing the inputs and assumptions that drive risk measures, and supporting the evolution of the team's quantitative frameworks. The role demands operational discipline, strong technical execution in SQL and Python, and the ability to work reliably within evolving data environments.

Requirements

• Master’s degree in Financial Engineering, Quantitative Finance, Finance, or a closely related field
• At least 2-5 years of experience in capital markets, asset management, or a closely related analytical role
• Solid understanding of financial markets, risk measures (exposures, sensitivities, stress testing, decompositions), and the data inputs that drive them
• Experience operating in a daily production environment - comfortable with production monitoring, troubleshooting, and time-sensitive delivery
• Demonstrated ability to translate analytical or financial engineering concepts into practical, testable solutions
• Strong attention to detail and a rigorous approach to data validation, documentation, and issue resolution
• Advanced SQL, with experience writing and maintaining production queries in Snowflake or similar analytical databases
• Programming experience in Python for data validation, pipeline maintenance, and analytical workflows
• Experience with relational databases and working with large-scale datasets in a production context
• Familiarity with BI tools (Power BI) for building and maintaining dashboards and reports
• Experience with data quality monitoring - defining checks, tracking issues, and supporting remediation workflows considered an asset
• Bilingualism in English and French

Nice To Haves

• Exposure to AI-assisted development tools and platforms (e.g., Databricks) considered an asset
• Professional designations (FRM, PRM, CFA, CQF) considered an asset

Responsibilities

• Run and monitor daily risk analytics production processes - ensuring risk exposures, sensitivities, stress metrics, and decompositions are produced accurately and delivered on time
• Contribute to the development and internalization of risk analytics, help translate analytical requirements into clear specifications, validation criteria, and implementable solutions that Risk Analytics delivery teams and technology partners can act on
• Support the review and refinement of risk methodologies and measures, including clarity on key inputs, assumptions, and analytical dependencies — ensuring outputs are consistent and explainable
• Investigate and resolve production issues: diagnose data breaks, pipeline failures, and anomalous outputs; apply fixes and escalate when needed
• Validate daily data inputs and outputs across the analytics chain; flag and remediate data quality issues before they reach downstream consumers
• Maintain and update risk reports and dashboards (Power BI or equivalent) to reflect current portfolio positions and methodological parameters
• Execute data quality controls (accuracy, completeness, consistency, timeliness) as part of the daily production cycle
• Implement incremental enhancements to existing analytics pipelines in SQL and Python — improving reliability, performance, or coverage in alignment with the team's target architecture.
• Document production processes, methodological decisions, known issues, and remediation steps to support operational continuity and audit readiness
• Participate in requirements discussions with Risk, Performance, CIO stakeholders and technology partners to ensure production outputs meet their needs

Benefits

• Investment in career development
• Comprehensive group insurance plans
• Competitive pension plans
• Unlimited access to virtual healthcare services and wellness programs
• Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers
• A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance
• Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior