Quantitative Data Engineer
CFA Level I passed or enrolled OR PhD / Master's in a quantitative field
Hiring Company: Epik Solutions
| Location | Toronto, ON / Montreal, QC / Boston, MA (hybrid) |
| Role type | Full-time Fast-track development role |
| Experience | 1+ years (or exceptional new-grad) |
| Team | Global Wealth & Asset Management (GWAM) Data Office |
The Opportunity
We are building an elite, domain-deep data engineering team for a leading global asset & wealth management client.. This is a launchpad role for outstanding early-career engineers who want to sit at the intersection of data engineering and investment management. You'll be developed into a rare hybrid: an engineer who speaks the language of both data platforms and capital markets.
What You'll Do
- Build and maintain Azure/Databricks data pipelines for investment and risk data under senior mentorship.
- Support curation, transformation and DAL layers; write validation and QA automation.
- Learn asset-management workflows (AUM, portfolio risk, performance) hands-on.
Must-Have Qualifications
- 1+ years' experience (or exceptional new-grad) with Python, SQL, and a cloud data stack; strong CS/engineering/quant fundamentals.
- Evidence of outstanding quality - top academics, competitions, publications, or high-impact projects.
- Either CFA Level I passed or enrolled OR PhD / Master's in a quantitative field (see qualifying disciplines below).
- Genuine interest in asset management and financial markets.
Advanced Quantitative Education - What Qualifies
A PhD or Master's degree in a quantitative field is a strong asset. Qualifying disciplines include:
| Field cluster | Example degrees | Why it matters |
| Financial Engineering / Quant Finance | MFE, MSc Financial Engineering, PhD Mathematical Finance | Fluency in portfolio theory, risk, derivatives, performance |
| Applied Mathematics & Statistics | MSc/PhD Statistics, Applied Math, Actuarial Science | Risk modelling, factor analysis, time-series methods |
| Computer Science / Data Science / ML | MSc/PhD CS, Machine Learning, Data Science | Core to data engineering and agentic AI |
| Econometrics / Quant Economics | MSc/PhD Econometrics, Quantitative Economics | Market data, forecasting, analytics |
| Physics / Engineering (quant-heavy) | PhD Physics, Computational Eng., Operations Research | Advanced modelling, optimization, numerical methods |
Who You Are
An ambitious, high-caliber early-career professional who wants to grow fast in a collaborative team and become a CFA-credentialed data engineer.
Epik Solutions is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment. All employment decisions at Epik are based on business needs, job requirements and individual qualifications and merit, without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other status protected by applicable law or regulations. Epik participates in the E-Verify program.
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