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Senior Analyst, Risk Analytics

Job in Montreal, Montréal, Province de Québec, Canada
Listing for: PSP Investments
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Data Analyst
  • Finance & Banking
Job Description & How to Apply Below
Location: Montreal

ABOUT US

We’re one of Canada’s largest pension investors, with CAD $299.7 billion of net assets as of March 31, 2025.

We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong Kong.

Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world’s top companies. At PSP Investments, you’ll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.

ABOUT YOUR TEAM

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.

ABOUT YOUR ROLE

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.

Key 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…

  • Position Requirements
    10+ Years work experience
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