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Remote Quantitative Analyst Jobs in Ontario (NOW HIRING)

While we have offices in cities listed, we're fully equipped to support remote work. If you're near ... Gather qualitative and quantitative data from external managers, custodians and other data ...

Our corporate headquarters is located in Farmington, Missouri, but this position will be eligible for remote work flexibility. As a Data Analyst at US Tool, you will get to work on exciting projects ...

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Remote Quantitative Analyst information

What is a remote quantitative analyst?

A Remote Quantitative Analyst is a professional who applies mathematical, statistical, and computational techniques to analyze financial data, build models, and support decision-making—while working from a remote location. They often work in industries like finance, investment banking, hedge funds, and fintech, focusing on risk management, trading strategies, and portfolio optimization. This role requires expertise in programming (Python, R, SQL), data analysis, and financial modeling. Remote Quantitative Analysts collaborate with teams via digital tools and must be self-motivated and detail-oriented.

What skills and qualifications are needed to be a remote quantitative analyst?

To thrive as a Remote Quantitative Analyst, you need strong analytical and mathematical skills, a degree in a quantitative field like mathematics, statistics, or finance, and experience applying quantitative methods to real-world problems. Proficiency in statistical programming languages such as Python, R, or MATLAB, as well as expertise in data visualization tools and familiarity with databases, are highly valued, and certifications like CFA or FRM may be advantageous. Excellent communication, self-motivation, time management, and collaboration skills are essential for remote work, enabling you to explain complex findings clearly and work effectively across virtual teams. These abilities ensure accurate analysis, effective collaboration, and the delivery of actionable insights in a distributed work environment.

What challenges do remote quantitative analysts face and how can they be addressed?

Remote Quantitative Analysts often face challenges such as managing complex data sets independently, ensuring clear communication with team members across different locations, and maintaining focus without direct supervision. To overcome these hurdles, it's important to establish a structured daily routine, utilize collaboration tools like Slack or Zoom for real-time communication, and document analyses thoroughly for transparency. Regular check-ins with colleagues and participation in virtual brainstorming sessions can also foster a sense of teamwork and facilitate problem-solving. Proactively seeking feedback and staying updated on industry best practices will help you grow and excel in this dynamic remote role.

What are the most commonly searched types of Quantitative Analyst jobs in Ontario?

The most popular types of Quantitative Analyst jobs in Ontario are:

What are popular job titles related to Remote Quantitative Analyst jobs in Ontario?

For Remote Quantitative Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Analyst jobs in Ontario look for?

The top searched job categories for Remote Quantitative Analyst jobs in Ontario are:

What cities in Ontario are hiring for Remote Quantitative Analyst jobs?

Cities in Ontario with the most Remote Quantitative Analyst job openings:

Infographic showing various Remote Quantitative Analyst job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Strategy Analyst - Collections & Loss Mitigation

Momentum Financial Services Group

Toronto, ON • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Job description

Who We Are

At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we're the team behind Money Mart-Canada's largest non-bank branch network-and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that enable people to access, use, and move their money more freely.

Our culture is built on innovation, collaboration, and a shared purpose to deliver financial inclusion. When you join our team, you're part of a company that is transforming financial services and making a lasting impact for millions of customers.

We've Got You Covered
  • Compensation Philosophy - Competitive pay aligned to experience and market value.

  • Discretionary Annual Bonus - Rewarding performance and contribution.

  • Comprehensive Benefits - Medical, dental, vision, and more to support your health and wellbeing.

  • Retirement Plans - Helping you plan and save for the future.

  • Hybrid Work Environment - Flexibility that balances in-office collaboration with remote work.

  • Perks and Rewards - Employee recognition programs, development opportunities, and other perks.

Title to be used internally:  Senior Analyst Loss Mitigation Tools & Segmentation

You will design customer treatment strategies, define eligibility for loss mitigation programs, evaluate strategy performance, and partner with Product, Operations, Technology and Risk to implement new capabilities. This role combines strategic thinking, quantitative analysis, and business ownership to influence millions of dollars in portfolio performance.

What You'll Do

Strategy Design & Segmentation

  • Build and refine segmentation frameworks that identify and target customer groups based on risk, behavior, repayment capacity, and hardship signals.
  • Integrate predictive analytics to prioritize accounts for appropriate mitigation treatments.
  • Define eligibility criteria, trigger logic, and outcome metrics for loss mitigation solutions

Loss Mitigation Tool Development

  • Own the design, implementation, and optimization of loss mitigation strategies across the collections lifecycle.
    • Payment deferral plans
    • Extended repayment options
    • Settlement offers
    • Hardship relief programs
  • Partner with IT, Product, Retail, and Legal/Compliance to translate strategies into decisioning systems and customer-facing solutions.

Performance Monitoring & Optimization

  • Own portfolio performance monitoring and identify strategic opportunities to improve recoveries while balancing customer outcomes and operational efficiency. (e.g., cure rates, roll rates, re-default rates, net loss impact).
  • Run A/B and multivariate testing on segmentation and tool performance.
  • Identify opportunities for continuous improvement and propose tactical or systemic enhancements.

Collaboration & Stakeholder Engagement

  • Act as a bridge between analytics, operations, and technology to ensure strategies are executable, compliant, and business-aligned.

  • Present clear, data-driven insights and recommendations to senior leadership.

What You'll Bring to the Table
  • Analytical rigor with a problem-solving mindset.

  • Strong balance of risk management, customer focus, and business objectives.

  • Excellent communication skills-able to simplify complex data into actionable strategies.

  • Resourceful, detail-oriented, and experienced in managing cross-functional initiatives.

  • Ability to thrive in a fast-paced, evolving environment.

Education + Experience
  • Bachelor's degree or higher in a quantitative field such as Data Science, Finance, Operations Research, Statistics, Computer Science, or a related quantitative field.
  • 4+ years of experience in Financial Services, focused on Collections, Credit Risk, or Loan Servicing Analytics.

  • Proven experience designing segmentation strategies or treatment frameworks using large-scale data.

  • Hands-on proficiency in SQL and at least one analytical tool/language (Python, R, or SAS).

  • Prior exposure to hardship or loss mitigation programs strongly preferred.

  • Experience with decisioning systems, collections platforms, or customer management tools is an asset.

  • Sigma experience is considered an asset

If you're ready to use advanced analytics and innovative thinking to reshape collections strategies and improve customer outcomes, we'd love to hear from you. Apply today and help build smarter, more empathetic loss mitigation solutions.

#SJ