Investment Associate, Risk - Total Fund Risk

Posted 23 March 2024

Investment Associate, Risk - Total Fund Risk at Ontario Teachers' Pension Plan

Investment & Corporate Banking Full-time Toronto

Experience: Not specified
Education Required: Undergraduate or graduate degree in a quantitative discipline (e.g., Mathematics, Statistics, Software Engineering, Computer Science, Quantitative Finance, Financial Engineering)
Salary Range: Not Specified

Close date: 22 April 2024

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Position Description

The Opportunity

Exciting opportunity to join our Total Fund Risk & Analytics team within the Risk Division of the OTPP. The Total Fund Risk & Analytics team is responsible for the risk systems and methodologies, total fund risk assessment and reporting to management and the Board, as well as development of risk analytical tools. The team’s mandate covers a range of investment risks including asset and active risks, market and credit risks, liquidity risks, as well as developing and executing our liquidity risk governance framework. The ideal candidate will provide subject matter expertise in quantitative risk modelling and deliver solutions by means of technology and engineering.

Who you'll work with

Reporting to Director, Investment Risk, the Associate will have a wide range of opportunities working with quantitative risk professionals and computer engineers within the Risk Division and investment professionals across investment departments, such as Total Fund Management (TFM), as well as our functional partners, such as Risk Analytics and IT.

The Associate role will provide an outstanding opportunity to an individual looking to work in the field of quantitative finance and investment risk, leveraging and building on existing in-house risk systems and analytical platforms. They will gain exposure and participate in total fund modeling and implementation of cutting-edge investment risk and analytics while working with and learning from a team of highly qualified and multi-disciplinary quants and engineers.

What you'll do

  • Contribute to the team’s initiatives in total fund risk and analytics capabilities
  • Provide research and recommendations that will be used to build models for quantitative risk assessment for the Total Fund
  • Partner with colleagues from Risk and Investment Divisions to design and implement risk analytical tools and provide risk analysis on an ad-hoc basis in a timely manner
  • Keep our in-house risk systems up to date to support new investment initiatives
  • Make recommendations on quantitative methodologies and designs, and contribute to mangers’ decision making
  • Make recommendations on implementation details related to technology and data

What we’re offering

  • Pay-for-performance environment that offers competitive salary and incentive
  • Numerous opportunities for professional growth and development
  • Comprehensive employer paid benefits coverage
  • Retirement income through a defined benefit pension plan
  • The opportunity to invest back into the fund through our Deferred Incentive Program
  • A flexible/hybrid work environment combining in office collaboration and remote working
  • Competitive time off
  • Our Flexible Travel Program gives you the option to work abroad in another region/country for up to a month each year
  • Employee discount programs including Edvantage and Perkopolis

At Ontario Teachers', diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring. We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves. To learn more about our commitment to Diversity, Equity and Inclusion, check out Life at Teachers'.

Required Skill / Experience

  • Undergraduate or graduate degree in a quantitative discipline (e.g., Mathematics, Statistics, Software Engineering, Computer Science, Quantitative Finance, Financial Engineering)
  • 3+ years working experience in financial institutions
  • Intermediate programming in at least one language such as Python, C#, Matlab, C++, etc
  • CFA and/or FRM considered an asset
  • Proficient understanding of the Value-at-Risk (VaR) methodologies, including historical and Monte Carlo approaches
  • Intermediate understanding of multivariate statistics beneficial
  • Knowledge and understanding of financial products, such as futures, swaps, options, and other derivatives across asset classes
  • Ability to quickly grasp new concepts and work in a high-performing culture, under pressure and with time sensitive deadlines
  • Ability to work independently as well as to perform effectively in a team oriented environment
  • Strong communication skills (oral and written), and ability to clearly communicate complex subject matter to non-technical audience
  • Working knowledge of Modern Portfolio Theory preferred
  • Exposure to buy-side and total fund risk is a strong asset
  • Understanding of and experience with funding liquidity risk is beneficial
  • Proficiency in relational database (SQL), and exposure to MS OLAP a plus
  • Exposure to Machine Learning (ML) and Artificial Intelligence (AI) is an asset
  • Working knowledge of data visualization tools such as Microsoft Power BI
  • Experience with Julia, Snowflake and Git a plus


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