Quantitative Risk Analyst

Coastal Community

Quantitative Risk Analyst supporting data-driven risk measurement and analytics at a financial services co-operative. Collaborating closely with risk management to enhance analytical capabilities.

Posted 7/18/2026part-timeRemote • 🇨🇦 CanadaMid-LevelSenior💰 CA$72,534 - CA$80,594 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative analysis, statistical modeling, and data analytics, with a strong foundation in risk measurement and analytical methodologies. Proficient in utilizing analytical tools to conduct research and validate complex datasets.

Highest-signal resume keywords

Quantitative AnalysisStatistical ModelingData AnalysisRisk MeasurementPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisHypothesis TestingSimulation ModellingExploratory Data AnalysisAnalytical Validation Techniques

Soft Skills

Analytical Problem-Solving

Tools & Technologies

PythonSQLRPower BIExcel

Industry Keywords

Risk ManagementData ScienceFinanceEconomicsActuarial Science

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Conducting research and literature reviews related to statistics, probability theory, risk measurement, and quantitative analysis
Supporting the testing, evaluation, and enhancement of analytical models and risk measurement methodologies
Performing exploratory data analysis, hypothesis testing, simulation modelling, and quantitative research
Assessing model performance through sensitivity testing, scenario analysis, and analytical validation techniques
Collecting, cleaning, validating, and analyzing large and complex datasets

Requirements

What you’ll need

Completion of a diploma or university degree in a related discipline
Minimum three years of experience in quantitative analysis, data analytics, statistical analysis, research, data science, finance, economics, actuarial science, engineering, risk management, or a related analytical field
Experience conducting quantitative analysis, statistical modelling, data analysis, research, or analytical problem-solving activities
Knowledge of statistics, probability, mathematical modelling, risk measurement, and data analysis techniques
Experience using analytical tools such as Python, SQL, R, Power BI, Excel, or similar technologies

Benefits

Comp & perks

Substantial extended benefits package
Impressive 11.75% employer-paid RRSP contribution
Investments in your education and training
Banking perks
Work/life balance