Lead Financial Engineer

Vancouver, BC
On-site
Posted Oct 5, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 7+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 38 hours per week

Job summary

The Lead Financial Engineer will translate complex financial models into precise mathematical specifications and algorithms for the investment proposal system. They will collaborate with business stakeholders and software engineering teams within an Agile framework to support portfolio optimization and risk assessment tools.

Job details

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: 2026-09-25 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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.

What you’ll do

Requirements

Candidates must have 7+ years of experience in quantitative finance or financial engineering and hold a Master's degree or Ph.D. in a highly quantitative field. Proficiency in Python, R, or MATLAB and deep expertise in modern portfolio theory and statistical simulation techniques are required.