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Quantitative Analyst

3 months ago

Ottawa, Ontario, Canada Canadian Mathematical Society Full time $45 - $56

Canadian Mathematical Society

Department: Operations Division/Technology Regulations & Compliance Branch
Work Arrangement: Hybrid
Employment Type: Full-time contract (up to 12 months)
Compensation: Competitive hourly rate

The Canadian Mathematical Society is a leading organization dedicated to advancing mathematical research and education in Canada. We are committed to fostering a culture of integrity and excellence in the mathematical community.

Are you a forward-thinking quantitative analyst who thrives in a dynamic and innovative technical setting? Do you utilize a data-driven, risk-based methodology in your analytical work? The Technology Regulations & Compliance Branch (TRCB) has an exciting opportunity for you. We are seeking a Quantitative Analyst to conduct mathematical and statistical evaluations and testing of intricate technologies to ensure their technical integrity, security, and operational reliability.

Reporting to the Manager, Technology Risk & Standards, the successful candidate will be responsible for:

  • Conducting mathematical and statistical evaluations of games of chance and skill, random number generators, and system components.
  • Developing analytical solutions to complex probability challenges using both closed-form and Monte Carlo methods.
  • Designing and implementing software tools and solutions, including specialized statistical assessment applications.
  • Creating risk-based testing methodologies to uphold high standards in product evaluations and operational processes.
  • Assessing third-party testing methodologies and outcomes from a mathematical and statistical viewpoint.
  • Developing and refining risk indicators as part of a comprehensive technical and regulatory risk management framework.
  • Employing a data-centric approach to identify high-risk areas requiring assessment and providing recommendations for risk mitigation.

The ideal candidate will possess:

  • A bachelor's degree in a STEM field (science, technology, engineering, or mathematics), or an equivalent combination of relevant experience and education.
  • Proficiency in at least one general-purpose programming language (C++, Java, etc.) and one statistical programming language (R, Python, etc.).
  • Understanding and experience with the software development life cycle, including the ability to design, implement, and maintain custom software solutions.
  • Advanced knowledge and demonstrated expertise in the following areas:
    o Randomness and Random Number Generators (RNG)
    o Probability theory
    o Statistical analysis and data analytics
    o Data visualization and dashboarding
    o Mathematical modeling
    o Risk analysis and management
    o Research and development
    o Quality assurance
    o Project management
    o Process optimization
  • A commitment to fostering a culture of diversity, accountability, and trust, while striving for service excellence.
  • Strong attention to detail and critical thinking skills to draw inferences, with the ability to work under pressure, manage multiple tasks, and meet strict deadlines in a fast-paced environment.
  • Excellent communication, interpersonal, and teamwork skills to collaborate effectively with senior management and various stakeholders.

The successful candidate must be eligible to work in Canada and will undergo a criminal background check.

The Canadian Mathematical Society is an inclusive and equal opportunity employer.

We are dedicated to promoting racial equity and building a diverse, inclusive, accessible, and respectful workplace where every employee has a voice and the opportunity to contribute fully. We encourage applicants to reflect on the diversity they would bring to the role in their application.

Disability-related accommodations during the recruitment process are available upon request.