Senior Analyst (Senior Associate), Portfolio Analytics

Choose a workplace that empowers your impact. 

Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.  

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don’t just work anywhere — come build tomorrow together with us.

Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

 

Portfolio Analytics of Total Portfolio Management provides advanced analytical capabilities to Capital Markets (Global Equities, Global Credit, Global Multi-Asset Strategies) and Total Portfolio Management (Trading, Portfolio Construction, Portfolio Strategy, Liquidity Management). Portfolio Analytics partners with the investment teams to create proprietary analytics using both quantitative methods, ML and AI to help our portfolio managers make more insightful investment decisions and create new strategies or improve existing strategies to capture new sources of alpha.

As a member of the OMERS Total Portfolio Management (TPM) team in Toronto, reporting to the Managing Director, Head of Portfolio Analytics, you will contribute and lead our transformation of how Capital Markets and TPM improve investment decision-making through data driven and AI powered insights.

As a Senior Analyst (Senior Associate) in Portfolio Analytics, at OMERS Total Portfolio Management, you will be part of a team that produces and drives world-class data-driven analytics and strategies. This role specifically will deliver proprietary analytics to the newly established Overlay Management group. The Overlay Management group, within the Global Multi‑Asset Strategies (GMAS) team, is responsible for supporting the OMERS public market exposures by delivering, rebalancing, and managing cross-asset Passive portfolios, Tactical Asset Allocation, dynamic currency management, and Tail-Risk hedging.

You will be responsible for:

• Ensuring high level of data quality for our analytics by creating robust and reliable data pipelines with proper documentation, alerts and resolution runbook
• Developing analytics, tools and processes required to create and manage diverse flavours of investment data and analytics
• Applying quantitative skills to systematically ensure high quality and data-driven analytics to generate meaningful and applicable insights
• Working with different members of OMERS Data and Technology team to convert the analytical solutions into consumer ready analytical products

• Working closely with OMERS Data and Technology department to improve our technology stack

• Effectively communicating highly technical subject matters to the Overlay Management portfolio managers
• Communicating and working with groups within Total Portfolio Management (Trading, Liquidity Management, Portfolio Construction, Portfolio Strategy) to gain a holistic view on how we operate and understand the overall business problem to be able to design the solution best fit for Overlay Management
• Own the complete product development lifecycle

Required skills:

• 5+ years of experience in a portfolio engineering role covering capital markets, specifically financial instruments and their pricing with derivatives (swaps, futures, options), fixed income (credit, rates), equities, FX
• Extensive experience with Python (Pandas, Numpy, SciPy)
• Extensive experience with SQL (Postgres/SQL Server), Redis, Parquet, query optimization, indexing
• Comprehensive experience with Github, Azure DevOps CI/CD
• Experience and extensive knowledge of quantitative modelling and analysis (Strong understanding of linear algebra, calculus, probability, and statistics; experience with stochastic processes, time series analysis, and optimization techniques)
• Experience working with investment teams and transforming business requirements into technology solutions
• Strong attention to detail, highly organized and keen to learn
• Ability to work independently and within a team
• An action-oriented approach with a high degree of initiative and ability to deliver results
• Strong written and verbal communication skills
• Highly developed interpersonal and relationship management skills

Preferred Skills:

• Degree in Computer Science, Engineering, Mathematics, or related field
• A passion for learning new technologies and analytical techniques

  

This posting is for an existing vacancy.

 

The expected salary range for this position is $130,000-160,000 per year.

 

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.

 

As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work — and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

 

Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.