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About the Role

The QSR (Quantitative Strategies & Research) team builds institutional-grade systems to manage and trade billions of dollars across a systematic portfolio's investment lifecycle, including data ingestion, portfolio construction, trading, and risk management. This role enhances, supports, and operates these systems, with key accountabilities in portfolio management, operations, risk, and P&L.

Responsibilities

Enhance, support, and operate systems and processes for quantitative investment strategies.
Take ownership of and improve the internal proprietary investment strategy codebase.
Work on code supporting investment functions: proprietary strategies, algorithmic trading, portfolio management, order management, risk analysis, automated reporting, P&L analysis, performance attribution, portfolio analytics, quantitative strategies research, web-based reporting, and system monitoring.
Support and guide Technology partners in developing code for data platforms, analytics tooling, reporting infrastructure, application security, production environments, and operational tooling.
Directly manage QSR's portfolio operations, including systematic intraday trade management, contract roll optimization, portfolio rebalances, and risk adjustments.
Interface with the Trading desk to optimize trade flows and resolve system or trading issues.
Deploy new investment models to production, ensuring integration, analyzing impact, and conforming to operational processes.
Contribute to the systematic trading platform for portfolio analysis and model execution.
Collect and analyze TCA and market data with Trading to improve trade schedules and algorithmic execution.
Investigate and attribute portfolio profit, loss, risk, and exposures.
Identify areas for improvement and contribute new ideas, including participating in 'Blue Sky' research initiatives.
Collaborate with quantitative researchers to create, tune, and maintain quantitative models.
Learn about quantitative investment strategies and their development and technology requirements.
Implement software engineering best practices with Technology partners, focusing on code quality, robustness, readability, and maintainability.
Support and guide new graduates and interns.
Take ownership of documentation for various projects.
Provide technical advice to researchers.

Requirements

Undergraduate or graduate degree in a quantitative discipline (Computer Engineering, Software Engineering, Computer Science).
Master's in finance or similar advanced degrees is an asset.
CFA charter or candidacy is an asset.
Demonstrable understanding and passion for financial markets, quantitative finance, and systematic trading.
Very strong programming skills, with preferred knowledge in Python, MATLAB, and SQL.
Highly skilled in modern software engineering techniques (design patterns, OOP, database, version control).
Experience supporting and debugging trading systems and performance analysis systems.
Experience working with financial data providers (Bloomberg, Refinitiv, S&P).
Experience managing the full lifecycle of a project, from requirement gathering to production deployment and support.
Demonstrated self-starter and problem-solving skills.
1+ years of relevant experience (software engineering in finance).
Direct experience supporting a systematic investment function is an important asset.
Candidates at the junior end must demonstrate awareness, interest, and passion for systematic investments.
Demonstrated self-initiatives in the field (personal finance/software projects related to stock markets, automated trading, etc.).
Ability to work independently with little guidance.
Effective time management and ability to balance attention to detail with work volume.
Confidence to take ownership of portfolio operations and make quick decisions in complex situations.
Ability to keep up-to-date with software engineering best practices.
Proactively seeks advice and learns from experienced team members.
Not afraid to challenge and debate with experienced members.
Candidates must be legally entitled to work in the country where the role is located.

Skills

Python
MATLAB
SQL
Design patterns
Object-oriented programming
Database management
Version control systems
Financial data providers
Systematic trading
Quantitative finance
Algorithmic trading
Portfolio management
Risk analysis
TCA analysis
Software engineering best practices

Work Type

Flexible work environment combining in office collaboration and remote working

Experience Level

1+ years of relevant experience (software engineering in finance)

Education Level

Undergraduate or graduate degree in quantitative discipline
Master in finance or similar advanced degrees is an asset
CFA charter or candidacy is an asset

Benefits

Comprehensive employer paid benefits coverage
Retirement income through a defined benefit pension plan
Deferred Incentive Program
Competitive time off
Flexible Travel Program (work abroad for up to a month annually)
Employee discount programs (Edvantage and Perkopolis)

About the Company

The QSR (Quantitative Strategies & Research) team's institutional grade systems are built to manage and trade billions of dollars across a systematic portfolio’s investment lifecycle.
The team operates in an open, agile and collaborative environment.
At Ontario Teachers', diversity is one of our core strengths.
We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves.

Equal Opportunity

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'.