Investpsp

Senior Analyst, Risk Analytics

Montreal · Senior

Sponsorship not specifiedDetected 31 days ago

PythonSQLSnowflakeDatabricksData VisualizationComplianceValuationRecruitingLoad TestingLeadershipCollaborationCFA

About the 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.

Responsibilities

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
Validate daily data inputs and outputs across the analytics chain
Maintain and update risk reports and dashboards (Power BI or equivalent) to reflect current portfolio positions and methodological parameters
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
Validate daily data inputs and outputs across the analytics chain; flag and remediate data quality issues before they reach downstream consumers
A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance

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
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
The role demands operational discipline, strong technical execution in SQL and Python, and the ability to work reliably within evolving data environments.

Skills

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
Experience with data quality monitoring - defining checks, tracking issues, and supporting remediation workflows considered an asset
Exposure to AI-assisted development tools and platforms (e.g., Databricks) considered an asset
Professional designations (FRM, PRM, CFA, CQF) considered an asset
Beyond salary and incentive pay eligibility, you have access to:
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

Compensation

Beyond salary and incentive pay eligibility, you have access to:

Benefits

Implement incremental enhancements to existing analytics pipelines in SQL and Python - improving reliability, performance, or coverage in alignment with the team's target architecture.
Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off

Company info

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.
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.
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.
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.

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