Director Derivative Risk Systems Global Financial Institution
Stonewood Group
Toronto, ON
Manager, Enterprise Model Risk Management
RBC
Toronto, ON
$131.9k / year
Investment Analyst
Omni Bridgeway
Toronto, ON
New
$75k / year
Data Analyst, Investigations
Canadian Investment Regulatory Organization
Toronto, ON
Entry-Level
Assistant Vice President, Credit Ratings, CMBS
Morningstar Credit Ratings
Toronto, ON
New
Senior Analyst - Funds & Asset Management
Fitch Ratings
Toronto, ON
New
Senior Analyst – Model Risk Validation & Testing - RFA Bank of Canada
RFA
Toronto, ON
New
Analyst, Corporate Strategic Initiatives
MCAP Group of Companies
Toronto, ON
$15 / hour
Analyst, Corporate Strategic Initiatives
MCAP
Toronto, ON
New
$15 / hour
Analyst, Investment Risk Research and Analytics
Investment Management Corporation of Ontario
Toronto, ON
Senior Analyst Investment Operations
The Mason Group - Strategic Search Partners
Toronto, ON
New
$70k / year
Risk Analyst / Counterparty Credit Risk
BeachHead
Toronto, ON
Senior Data Engineer – Quantitative Data Pipelines
Lumenalta
Toronto, ON
Manager, Corporate Strategy Analysis
Capital One Canada
🌎 Remote
Remote
Investment Analyst
Eckler Ltd. / Eckler ltée
🌎 Remote
New
Remote
Entry-Level
$150k / year
Data Analyst, Communications & Policy
Stripe
🌎 Remote
Remote
Dental Insurance
Vision Insurance
$146.9k - $220.3k / year
Quantitative Developer
Picton Mahoney Asset Management
Toronto, ON
Dental Insurance
Parental Leave
$13 / hour
Analyste, Risque de marché
TD
Toronto, ON
$98.4k / year
Quantitative developer
Desjardins Group
Toronto, ON
Quantitative Analyst
CTECH GLOBAL LIMITED
Toronto, ON
Job Description
Working as a Quantitative Analyst in Toronto, ON
There are 360 Quantitative Analyst opportunities available in Toronto, ON all with unique requirements.
The role of a Quantitative Analyst can best be summed up as the art and science of gathering and interpreting data to drive decision making. They engage in many different activities from building predictive models to derive insights by mining large datasets. He or she may work with various data sets such as modeling, retail credit card data, net promoter scores (NPS), and survey results. They will also regularly speak about their findings and present them in their reports to stakeholders.