Senior Analyst, Credit Risk & Collections

EQ Bank

Toronto

Hybrid

CAD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive discretionary bonus
Market leading RRSP match program
Medical, dental, vision, life, and ADP
Employee Share Purchase Plan
Parental top-up
Generous vacation and personal days
Career development program
Fulfilling opportunity at a top FinTeh

Job summary

EQ Bank is hiring for a Risk Analytics role focused on developing, managing, and refining customer risk strategies across limit management, pricing, delinquency, and collections. You will apply quantitative analysis, testing, and evidence-based recommendations to optimize credit risk decisions.

You will work with systems like TSYS and TRIAD, and leverage Python, SQL, and SAS/PySpark to monitor performance and implement improvements. This hybrid role is based in Toronto.

Qualifications

  • Post-secondary education or equivalent in a quantitative field (economics, business, statistics, mathematics, computer science, or operations research) preferred.
  • 1–2 years of progressive experience analyzing problems, implementing solutions, and validating results.
  • Proficiency with data management and reporting tools such as Python and SQL is required.
  • Proficiency with Microsoft Office suite is required.
  • Knowledge of the credit card lifecycle and profit-and-loss financial drivers.
  • Working knowledge of credit card host systems, including TSYS, is preferred.
  • Experience with adaptive control systems such as TRIAD, FICO Strategy Director, Experian PowerCurve, or comparable decisioning platforms is an asset.
  • Good change management experience and discipline, including validation, user acceptance testing, and post-implementation validation.
  • Experience within SAS PySpark, and/or R are preferred.
  • Storytelling experience with Think-cell or similar tools would be an asset.
  • Additional experience with decision-tree software, including GCP machine learning, Angoss, or SAS, and optimization software such as FICO Decision Optimizer would be an asset.
  • Strong curiosity, problem-solving ability, financial acumen, and interpersonal skills.
  • Ability to distill and communicate complex analytic recommendations to both technical and non-technical stakeholders, orally and through written presentations.

Responsibilities

  • Analyze, monitor, and contribute to assigned customer risk strategies across areas such as limit management, APR pricing, delinquency management, collections, payment holds, and other prioritized strategies.
  • Own assigned optimization opportunities and refine strategies through quantitative analysis, performance monitoring, and test-and-learn approaches to assess effectiveness and identify improvement opportunities.
  • Recommend credit risk strategy changes based on analytical findings, strong financial analysis, portfolio performance, and expected customer and business impacts.
  • Develop evidence-based recommendations and present findings to leadership to support policy and strategy decisions.
  • Own assigned analytical workstreams and support implementation activities by providing analysis, validation, documentation, and stakeholder updates to help ensure deployments meet quality expectations.
  • Develop strong working knowledge of credit systems, including TSYS and TRIAD, to support strategy design, implementation, monitoring, and continuous improvement.
  • Support continuous improvements to strengthen oversight and governance capabilities.

Skills

Python
SQL
SAS
R
PySpark
Think-cell
Communication

Education

Post-secondary education in a quantitative field

Tools

TSYS
TRIAD
FICO Decision Optimizer
Experian PowerCurve
GCP Machine Learning
Angoss
SAS

Job description

Join a Challenger

At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions.

We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.

What's kept us moving?

The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.

If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.

We can't wait to get to know you!

Purpose of the Job

This role supports the development, management, monitoring, and ongoing refinement of customer risk management processes and strategies across the PC Mastercard and PC Money products. The role is responsible for using quantitative analysis, financial assessment, and test-and-learn methodologies to support the optimization of strategies across limit management, APR pricing, delinquency management, collections, payment holds, and related credit risk decision areas.

Job Duties
  • Analyze, monitor, and contribute to assigned customer risk strategies across areas such as limit management, APR pricing, delinquency management, collections, payment holds, and other prioritized strategies.
  • Own assigned optimization opportunities and refine strategies through quantitative analysis, performance monitoring, and test-and-learn approaches to assess effectiveness and identify improvement opportunities.
  • Recommend credit risk strategy changes based on analytical findings, strong financial analysis, portfolio performance, and expected customer and business impacts.
  • Develop evidence-based recommendations and present findings to leadership to support policy and strategy decisions.
  • Own assigned analytical workstreams and support implementation activities by providing analysis, validation, documentation, and stakeholder updates to help ensure deployments meet quality expectations.
  • Develop strong working knowledge of credit systems, including TSYS and TRIAD, to support strategy design, implementation, monitoring, and continuous improvement.
  • Support continuous improvements to strengthen oversight and governance capabilities.
Let's Talk About You!
  • Post-secondary education or equivalent experience in a quantitative field is preferred, including economics, business administration, statistics, mathematics, computer science, or operations research.
  • Minimum of 1-2 years of progressive experience analyzing problems, implementing solutions, and validating results.
  • Proficiency with data management and reporting tools such as Python and SQL is required
  • Proficiency with Microsoft Office suite is required
  • Knowledge of the credit card lifecycle and profit-and-loss financial drivers.
  • Working knowledge of credit card host systems, including TSYS, is preferred.
  • Experience with adaptive control systems such as TRIAD, FICO Strategy Director, Experian PowerCurve, or comparable decisioning platforms is an asset.
  • Good change management experience and discipline, including validation, user acceptance testing, and post-implementation validation.
  • Experience within SAS PySpark, and/or R are preferred
  • Storytelling experience with Think-cell or similar tools would be an asset.
  • Additional experience with decision-tree software, including GCP machine learning, Angoss, or SAS, and optimization software such as FICO Decision Optimizer would be an asset.
  • Strong curiosity, problem-solving ability, financial acumen, and interpersonal skills.
  • Ability to distill and communicate complex analytic recommendations to both technical and non-technical stakeholders, orally and through written presentations.
What we offer [For full-time permanent roles]
  • Competitive discretionary bonus
  • Market leading RRSP match program
  • Medical, dental, vision, life, and disability benefits
  • Employee Share Purchase Plan
  • Maternity/Parental top-up while you care for your little one
  • Generous vacation policy and personal days
  • Virtual events to connect with your fellow colleagues
  • Professional development and comprehensive Career Development program
  • A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience

The incumbent will be working hybrid and in office time will be spent working from EQ Bank's additional office space located at 2200-25 Ontario Street, Toronto, ON.

Equity, Diversity & Inclusion

EQ is committed to building an inclusive, accessible environment where every employee feels valued, respected, and supported. We believe our organization is stronger - and our people thrive - when we honour and celebrate diverse experiences, identities, and perspectives. We're equally committed to supporting your growth, both professionally and personally.

We provide a barrier-free recruitment process and work environment. If you require accommodations at any stage, we will work with you to ensure you can bring your best self to the process and beyond.

As part of our recruitment process, EQ uses AI to help screen, assess, and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check. While we appreciate every application, an EQ recruiter will contact only those whose skills and experience most closely match the requirements of the role.

EQB Inc. (TSX: EQB) is the parent company of Equitable Bank, the country's seventh-largest Schedule I bank by assets, which operates EQ Bank, Canada's Challenger Bank™. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration.

To learn more, visit eqb.investorroom.com and eqbank.ca.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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