Senior Lead Financial Engineer

RBC; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Stock options where applicable

Job summary

RBC seeks a Senior Lead Financial Engineer to bridge investment strategy groups with software teams. You will translate complex financial models into precise mathematical specifications and algorithms for the investment management proposal system, operating within the Investment Product Team and an Agile framework.

You will own core model integrity for portfolio optimization, Monte Carlo simulations, and risk scoring, collaborating closely with software engineers and business stakeholders to

Qualifications

• 7+ years of professional experience in quantitative finance, financial engineering, or asset management.
• Master’s degree or Ph.D. in Financial Engineering, Quantitative Finance, Mathematics, Statistics, Physics, CS, or a highly quantitative field.
• Deep understanding of modern portfolio theory, multi‑period asset allocation, stochastic processes, and statistical simulation techniques.
• Proficiency in Python, R, or MATLAB for prototyping and data analysis; familiarity with SQL and Git.

Responsibilities

• Define, refine, and document quantitative algorithms for the investment proposal platform.
• Translate high-level financial models into rigorous mathematical formulas and technical specifications for software developers.
• Own the mathematical integrity of core system features, including portfolio optimization, Monte Carlo simulations, and risk assessment models.
• Act as the quantitative SME within Scrum teams, participating in story writing, sprint planning, and code/math reviews.
• Design and execute prototype models in Python or R to validate algorithmic accuracy before production.
• Assist the Product Owner in prioritizing the quantitative roadmap based on business value and feasibility.

Skills

Python

R

MATLAB

SQL

Git

Agile/Scrum

Mathematical communication

Education

Master's or PhD in Financial Engineering / Quantitative Finance

Tools

Monte Carlo simulations

Job description

What is the Opportunity?

We are seeking a Senior 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.

Job Description

We are seeking a Senior 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.

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: 2026-09-15

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.