4 дня назад
Lead Quantitative Financial Engineer (AI)
140 000 - 180 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Quantitative Financial Engineer (AI/Financial Risk): Researching and designing financial analytics and risk-management product features with an accent on quantitative analysis, pricing, valuation, scenario generation, and regulatory risk. Focus on creating prototypes, formalizing complex mathematical-finance problems, integrating AI tools, and resolving methodology conflicts across research, validation, development, clients, and sales.
Location: Toronto, Ontario, Canada — hybrid, with required office attendance and the ability to commute to the office.
Salary: CAD 140,000–180,000 per year
Company
Global provider of AI-powered technology and services for financial services and healthcare organizations, with a financial risk technology business serving institutions worldwide.
What you will do
- Research and design financial and technical specifications for complex product features in financial analytics and risk management.
- Create prototypes to test and validate models, ideas, and solution designs.
- Analyze pricing, simulation, valuation, optimization, scenario generation, market risk, credit risk, liquidity risk, ALM, regulatory, climate, and alternative-asset risk topics.
- Investigate market functionality, client requirements, and risk methodologies, providing authoritative product and modeling guidance.
- Use AI knowledge, tools, and techniques to streamline financial-engineering work.
- Collaborate with research, validation, development, services, pre-sales, sales, clients, and field-office teams; produce whitepapers and present at conferences.
Requirements
- Must be legally eligible to work in Canada at the specified location and provide a valid work or study permit where applicable.
- At least 5 years of experience in a related field, with software-development or financial-industry experience beneficial.
- Advanced degree or equivalent background in risk management, mathematics, computer science, mathematical finance, or a related discipline.
- Strong knowledge of probability, statistics, stochastic processes, financial mathematics, linear algebra, and optimization.
- Experience with Python, MATLAB, Visual Basic, and Excel, plus exposure to AI tools, techniques, and Claude Code or an equivalent.
- Excellent analytical, problem-solving, communication, presentation, whitepaper-writing, and client-facing skills.
Nice to have
- Proficiency in R and C++ in a Linux environment.
- Experience with RiskWatch, ASE, AWA, or other platform software.
- Regional language skills or proficiency in multiple languages.
Culture & Benefits
- Hybrid work model with flexible personal and vacation time, sick leave, and paid holidays.
- RRSP matching, professional development reimbursement, and customized hands-on training.
- Medical, dental, and vision coverage, employee assistance, and parental leave.
- Collaborative, inclusive, diverse, and integrity-focused working environment.
- Business-casual dress code and discounts on fitness clubs, travel, and other services.
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