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Added 40 mins ago
PH
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Added 2 hours ago
RB
Lead Financial Engineer
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- Full-time
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Added 2 hours ago
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Added 5 hours ago
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Senior Data Engineer
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Royal Bank of Canada

Lead Financial Engineer

Vancouver, BC, V6E 3N9, Canada
Toronto, ON, M9W 0A4, Canada

Full-time

This date has passed. Check with the employer before applying.

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Job details

Job type: Full-time
Listed closing date: Sep 25, 2026
Experience: Experience: 7+ years of professional experience in quantitative finance, financial engineering, or asset management role.
Posting language: English
Posted: Sep 16, 2026

Original job description

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.

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.

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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.

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More about this job

Responsibilities

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.

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.

Skills

Quantitative finance
Financial engineering
Asset management
Modern portfolio theory
Stochastic processes
Statistical simulation
Python
R
MATLAB
SQL
Git
Agile
Scrum
Mathematical modeling
Algorithm development

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock

Visa sponsorship

Not detected in the job text

Keywords

Financial Engineering
Quantitative Finance
Asset Management
Modern Portfolio Theory
Stochastic Processes
Statistical Simulation
Python
R
MATLAB
SQL
Git
Agile
Scrum
Monte Carlo Simulations
Portfolio Optimization
Wealth Management
Robo-advisory
Algorithm Definition
Mathematical Modeling
Software Engineering

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