Level

RBC

Lead Financial Engineer, Software

RBC is hiring a Lead Financial Engineer, Software in Toronto, Canada. Level rates it ; you can apply on Level.

AI in this role

Translate complex financial models into precise quantitative algorithms for an investment proposal system.

pythonrmatlabsqlgit
quantitative-financefinancial-engineeringportfolio-optimizationmathematical-modeling

Job Description

What is the Opportunity?

We are seeking a Lead Financial Engineer to bridge the gap between our investment strategy business units and our software engineering teams. In this role, you will translate complex financial models into precise mathematical specifications and algorithms for our investment management proposal system. You will sit within the Investment Product Team, working daily inside an Agile development framework to build tools for portfolio optimization, risk assessment, and client wealth forecasting.

What will you do?

  • Algorithm Definition: Collaborate with business stakeholders to define, refine, and document quantitative algorithms for the investment proposal platform.

  • Mathematical Translation: Convert high-level financial models and concepts into rigorous mathematical formulas and technical specifications for software developers.

  • Core Model Support: Own the mathematical integrity of core system features, including portfolio optimization, Monte Carlo simulations, financial health scoring, and probability-based goal assessment models.

  • Agile Collaboration: Serve as the quantitative Subject Matter Expert (SME) within Scrum teams, participating in story writing, sprint planning, refinement, and code/math reviews.

  • Validation & Testing: Design and execute prototype models in Python or R to validate algorithmic accuracy before full-scale software production.

  • Product Strategy: Assist the Product Owner in prioritizing the quantitative roadmap based on business value and technical feasibility.

What do you need to succeed?

Must have:

  • Experience: 7+ years of professional experience in quantitative finance, financial engineering, or asset management role.

  • Education: Master’s degree or Ph.D. in Financial Engineering, Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a highly quantitative field.

  • Domain Expertise: Deep understanding of modern portfolio theory (MPT), multi-period asset allocation, stochastic processes, and statistical simulation techniques.

  • Technical Skills: Proficiency in Python, R, or MATLAB for prototyping and data analysis. Familiarity with SQL and version control (Git).

  • Software Delivery: Proven experience working alongside software engineers and translating financial math into clear, implementable developer specifications.

  • Methodology: Experience working within an Agile/Scrum development lifecycle.

  • Communication: Exceptional ability to communicate highly complex mathematical concepts to both non-technical business partners and software engineers.

Nice to have:

  • Experience building software components specifically for wealth management, robo-advisory, or retail investment proposal platforms.

  • Basic understanding of object-oriented programming (e.g., C#, Java, or C++) to help audit production code implementations.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Opportunities to do challenging work

  • Opportunities to take on progressively greater accountabilities.

#LI-POST

Job Skills

Accounting, Decision Making, Financial Planning and Analysis (FP&A), Financial Reporting and Analysis, Results-Oriented

Additional Job Details

Address:

180 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-28

Application Deadline:

2026-10-16

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

How we rate this

Lead Financial Engineer, Software at RBC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Quantitative FinanceFinancial EngineeringPortfolio OptimizationMathematical ModelingPythonRMatlabSQL

Questions you could be asked

  1. Tell me about a project where quantitative finance was part of your work. What did you do?
  2. Tell me about a project where financial engineering was part of your work. What did you do?
  3. Tell me about a project where portfolio optimization was part of your work. What did you do?
  4. Tell me about a project where mathematical modeling was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Quantitative Finance, Financial Engineering, Portfolio Optimization, Mathematical Modeling, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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