Senior Quantitative Software Engineer

Rbc — Canada · Posted ~1 day ago

Senior

Skills

Python Software development Quantitative finance Portfolio optimization Monte Carlo simulation Trading algorithms API development Backtesting Data extraction APIs Monte Carlo

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Summary ✨ AI‑Generated

A senior quantitative engineer will build logic-intensive software and APIs supporting wealth-management and investment analytics. Responsibilities include developing quantitative libraries in Python, maintaining research and trading applications, extracting data for models, conducting portfolio-optimization research, backtesting strategies, and implementing trading models.

Highlights

Work on sophisticated quantitative software powering portfolio optimization, simulations, trading models, and financial analytics. The role combines software engineering, quantitative research, data work, and collaboration on technical best practices.

Description

Job Description What is the Opportunity? This position is responsible for developing logic-intensive components of the digital wealth management platform. Works on computational libraries, as well as API services that interact with those libraries and other parts of the platform. The core focus for the position will be on implementing software used in portfolio optimization, Monte Carlo simulations, trading algorithms, financial health scores, and probability assessment models used in developing a wealth management platform. What will you do? Develop software for quantitative and portfolio management using PythonDesign/test/maintain/improve the core trading and research applications being developedDevelop code to extract data from various sources to support development of the modelsCollaborate with team on best practicesConduct research on portfolio optimization, perform back test and implement trading models What do you need to succeed? Must have: 5+ years of software development in a quantitative finance area3+ years of professional experience building large scale applications/APIs in PythonBachelor's degree in Economics/Finance/Mathematics, Computer Science, Statistics or other relevant discipline or equivalent experience.Strong knowledge of quantitative concepts, including applied statisticsExperience using analytics libraries and frameworks such TensorFlow, scikit, NumPyStrong problem-solving skillsKnowledge of (or interest in) personal finance/economicsExperience with algorithm design or developmentExperience working with RESTful APIsExperience with Python API frameworks like Django, Flask Nice to have Master’s degree or Ph.D. Preferred.Experience with Cloud (AWS or Azure) and containerization is a big plusExperience in financial services preferredExperience developing financial models in behavioral finance or wealth managementFamiliarity with and ability to apply the following concepts to solve data problems; natural language processing, machine learning, conceptual modelling, statistical analysis, predictive modelling and hypothesis testing 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 applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamOpportunities to do challenging workOpportunities to take on progressively greater accountabilities. Job Skills Communication, Critical Thinking, Detail-Oriented, Financial Instruments, Investment Banking Analysis, Investments Analysis, Personal Development, Personal Initiative, Quantitative Methods, Risk Management 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: 2026-09-04 Application Deadline: 2026-09-21 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.