Senior Financial Engineer – Portfolio Optimization & Risk Lead

RBC; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

RBC is seeking a Lead Financial Engineer to bridge investment strategy with software engineering. You will translate complex financial models into mathematical specifications and algorithms for our investment management proposal system within an Agile team.

Responsibilities include owning core model integrity for portfolio optimization, Monte Carlo simulations, and risk scoring, and collaborating with software engineers to ensure implementable specs. Strong communication is essential.

Qualifications

• 7+ years in quantitative finance, financial engineering, or asset management.
• Master's degree or Ph.D. in a highly quantitative field; preferred Financial Engineering/Math/Statistics/CS.
• Deep understanding of portfolio theory, multi-period asset allocation, stochastic processes, and simulations.
• Proficiency in Python, R, or MATLAB; SQL and Git familiarity.

Responsibilities

• Define and document quantitative algorithms for the investment proposal platform.
• Translate financial models into precise mathematical specifications for software developers.
• Maintain mathematical integrity of core features: portfolio optimization, Monte Carlo simulations, risk scoring.
• Collaborate with Scrum teams as SME; participate in story writing, planning, and reviews.
• Design and validate prototype models in Python or R to ensure accuracy before production.

Skills

Python

R

MATLAB

SQL

Git

Agile/Scrum

Financial engineering

Quantitative finance

Communication

Education

Master's degree

PhD

Tools

None

Job description

RBC is seeking a Lead Financial Engineer to bridge investment strategy with software engineering. You will translate complex financial models into mathematical specifications and algorithms for our investment management proposal system within an Agile team.

Responsibilities include owning core model integrity for portfolio optimization, Monte Carlo simulations, and risk scoring, and collaborating with software engineers to ensure implementable specs. Strong communication is essential.