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Added 42 mins ago
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RPIA

Quantitative Software Engineer

Toronto, ON, M5R 2E3, Canada

Pay: Compensation Range: $110,000 – $130,000 base salary, additional compensation may be available
Job type: Full-time
Experience: 3+ years of professional software development experience involving financial or quantitative systems.
Posting language: English
Posted: Sep 28, 2026

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Original job description

We are seeking a full-time permanent Quantitative Software Engineer, Data Engineering to join our team.

Reporting directly to the Director, Data Engineering, this role helps build, validate, and support the data platform the firm runs on. The Data Engineering team owns the ingestion, transformation, storage, and management of RPIA’s business-critical data - the trusted foundation behind the internal systems used by Portfolio Managers, Traders, Researchers, and Risk Management.

The role spans the full development lifecycle - contributing to solution design, implementation, later-stage development and testing, and production support. We are a small team operating with a high degree of autonomy. You will be given direction and context rather than detailed instructions, and you will be expected to reason through problems and carry assigned work through to a reliable outcome.

Support is available to help you ramp up on our platform and the business it serves.

The duties and responsibilities of this role include, but are not limited to:

Solution Design & Software Development

Contribute to the design of data services and platform components, developing a clear understanding of data flow, system interactions, and expected behavior before implementation.
Develop and maintain software applications and data services supporting portfolio management, trading, funding, research, and operational workflows.
Build new features and enhance existing systems using established software engineering practices.
Participate in code reviews and contribute to maintaining a high standard of software quality.

Testing & Release

Take independent ownership of later-stage development and testing for assigned functionality. Design and execute test plans with particular focus on edge cases and failure modes that may not be covered by existing tests.
Validate data outputs against expected business and real-world behavior, using quantitative judgment to recognize anomalies and help localize where problems may have occurred.
Support release activities and help maintain stable development, testing, and production environments.
Continuously improve testing, deployment, and release practices, including automation of steps that are currently manual.

Post-Release Monitoring & Production Support

Monitor newly released functionality and data pipelines, independently assessing whether outputs are correct and reasonable rather than confirming only that a process completed.
Investigate and resolve production issues affecting business-critical systems, using discrepancies in system behavior or data outputs to localize problems, determine root causes, and implement durable solutions.
Work directly with business users to understand issues and provide timely resolution.

Collaboration & Continuous Improvement

Collaborate with Portfolio Managers, Traders, Researchers, Risk Management, and other business stakeholders to understand requirements and deliver practical solutions.
Work closely with engineers across multiple locations throughout the software delivery lifecycle.
Contribute to internal tooling and engineering infrastructure that improves software quality, reliability, and team productivity.
Document applications, technical solutions, data flows, and operational processes to facilitate knowledge sharing across the team.

Critical Competencies

Systems Thinking & Logical Reasoning - Breaks complex problems into manageable components, reasons through how data should flow through a system, identifies where transformations, validation, and business logic should occur, and anticipates interactions and failure modes beyond existing test cases.
Engineering Judgment - Balances implementation complexity, business impact, reliability, risk, and expected benefit when deciding which issues or improvements warrant engineering effort.
Data Judgment - Recognizes when a numerical result or data output does not look reasonable, forms practical expectations about the range or order of magnitude of results from the underlying inputs and business context and uses discrepancies to guide investigation.

Requirements

Bachelor’s degree in a STEM discipline, or equivalent practical experience.
3+ years of professional software development experience involving financial or quantitative systems.
Experience working with relational databases and SQL, with an understanding of how data is structured, transformed, and propagated through software systems.
Working knowledge of fixed-income markets and quantitative finance, with a focus on corporate credit.
Experience working with numeric or quantitative data where correctness materially mattered and outputs had to be validated against expected or real-world behavior.
Demonstrated ability to reason through data flows, system interactions, and failure modes before implementation and testing.
Demonstrated ability to break down ambiguous problems, investigate unexpected results, and use evidence to help localize problems.
Demonstrated ability to assess engineering effort against expected business value, risk, and reliability impact when deciding what to build or fix.
Experience using source control and collaborative software development practices.
Demonstrated ability to independently learn technically dense material, reason through unfamiliar systems, and make progress on ambiguous problems with minimal direction.
Familiarity with Python and/or C#/.NET is an asset.

Additional Information

Position Type: Full-Time
Work Location: Province of Quebec or Toronto
To learn more about life at RPIA, visit https://rpia.ca/
Read our firm’s magazine, Voices of RPIA: https://online.flippingbook.com/view/859829658/
This is to fill an open vacancy
Artificial Intelligence may be used as part of this recruitment initiative
Compensation Range: $110,000 – $130,000 base salary, additional compensation may be available

RPIA is proud to be Great Place to Work Certified™. What sets us apart?

Exceptional single and family benefits package that includes health, dental and vision insurance plus additional Health Care Spending and Wellness credits.
Employee and Family Assistance Program to support mental wellbeing extended to all family members in your household.
Opportunities for professional and personal growth through:
- Cross-functional Mentorship Program
- Internally curated Leadership Skills training program
- Community outreach and monthly social events organized through our volunteer-led committees.

RPIA is an Equal Opportunity Employer

We believe in the power of diversity of thought, and we aspire to have an inclusive workplace that mirrors the fabric of our community. We strongly encourage applications regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. We are committed to providing an accessible and equitable application and hiring process and will make accommodations should you require it at any point. We encourage you to connect with us at hr@rpia.ca if you require accommodation during the recruitment process.

Our culture is defined by our six core values: Client-First, Innovation, Excellence, Partnership, Integrity, and Giving back. Our clients often say the outstanding service we deliver is as important to them as the returns we achieve for them. With over 135 employees and approximately $21 billion in assets under management for a broad investor base of institutions and private clients, we proudly remain privately owned by employees who invest alongside our clients.

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More about this job

Responsibilities

The role involves designing, developing, and maintaining data services and platform components to support portfolio management, trading, and research workflows. You will also be responsible for validating data outputs, monitoring production systems, and collaborating with business stakeholders to resolve technical issues.

Requirements

Candidates must have a bachelor's degree in a STEM discipline and at least 3 years of professional software development experience in financial or quantitative systems. Proficiency in SQL and relational databases is required, along with a working knowledge of fixed-income markets and quantitative finance.

Skills

Software development
Data engineering
SQL
Relational databases
Python
C#
.NET
Quantitative finance
Fixed-income markets
Corporate credit
System design
Data validation
Production support
Software testing
Source control
Logical reasoning

Benefits

Health insurance
Dental insurance
Vision insurance
Health care spending credits
Wellness credits
Employee and family assistance program
Mentorship program
Leadership skills training

Visa sponsorship

Not detected in the job text

Keywords

Quantitative Software Engineer
Data Engineering
SQL
Relational Databases
Python
C#
.NET
Fixed-income
Corporate Credit
Quantitative Finance
Portfolio Management
Trading
Risk Management
Data Pipelines
System Design
Production Support
Source Control
STEM
Data Validation
Automation
Software Quality
Engineering Infrastructure
Technical Documentation
Systems Thinking
Logical Reasoning
Data Judgment
Engineering Judgment
Financial Systems
Quantitative Data

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