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Modeling & Risk Management - Senior Risk Analyst

Job in Surrey, BC, Canada
Employer details provided on application.
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 105000 CAD Yearly CAD 90000.00 105000.00 YEAR
Job Description & How to Apply Below

Virtual

Job Description

Posted Thursday, May 28, 2026 at 4:00 AM

Purpose Unlimited is an independent financial services company with an unrelenting focus on customer‑centric innovation, delivered through technology‑driven solutions.

Founded by entrepreneur Som Seif, the company is developing a diversified product platform aimed at addressing historically underserved segments of the market. Purpose Unlimited’s businesses include Purpose Investments, Advisor Solutions by Purpose, and Driven.

Who is DRIVEN?

At DRIVEN, we are changing the landscape of financial technology! Simply put, our mission is to empower Canadian small businesses through innovative financial services. At the heart of our offering is our digital experience, which is powered by our proprietary software platform, real‑time connections to a multitude of data sources, and advanced data science models. We are squarely in the corner of owners and entrepreneurs, providing for them, and at the right moment, the financial support they need to grow and thrive.

Vacancy

Status

This is a current opening.

Compensation

$90,000 - $105,000

Job Description Who you are

You are more energized by designing processes than by running them. You have enough credit risk and modelling experience to know what good looks like – and now you want to be part of building something that didn’t exist before.

You think in systems and you’re comfortable with ambiguity. You don’t need a fully‑defined playbook – you’re the kind of person who helps write it. You care about building things that are rigorous and defensible, not just functional.

Purpose of the Role

Credit risk at Purpose is being rebuilt from the ground up for the AI era – and this role is part of the team doing the building. You’re not joining a finished function. You’re helping shape how it works.

We are in the process of designing and deploying an AI‑augmented credit risk function: the tooling is being selected, the workflows are being architected, and the human accountability layer is being defined. You will help determine which tasks get handed to AI and which stay human, help build the models and workflows that drive portfolio decisions, and help design the governance that makes those decisions accurate and defensible.

You will be measured by what gets built: the quality of the models, the soundness of the governance framework, and the effectiveness of the risk strategies that come out of the function you help design.

This role lives inside Purpose’s Innovation value and demands an Owner’s Mindset: personal accountability for outcomes that span models, strategies, and the humans who act on them.

Responsibilities:
What you will do/ What you will own
  • Design and build the governance framework for ML models – accuracy, bias, regulatory defensibility, escalation protocols
  • Bring the human judgment no model can replace – and build it into how the function operates
  • Build risk strategies designed to improve as AI tooling matures – feedback loops, validation cadences, human checkpoints
  • Establish how risk intelligence becomes business decisions – the protocols that connect model outputs to action
  • Design the safeguards in from the start – bias, failure modes, regulatory exposure – during the build, not after
  • Be the human anchor in a function being redesigned around AI – ensuring accountability and strategic value scale with automation
Qualifications:

What you must bring
  • 2–5 years in credit risk, quantitative risk, or risk analytics within financial services (banking, fintech, or lending)
  • Demonstrated experience building or validating ML models in a credit or risk context – not just using them
  • Strong proficiency in Python and SQL; hands‑on experience in modern data warehousing environments
  • Proven ability to translate complex quantitative analysis into clear recommendations for non‑technical stakeholders
What will set you apart
  • Experience with AI /ML model governance, validation, or explainability frameworks – formal or de facto
  • Exposure to collections strategy optimisation, scorecard development, or offer assignment modelling
  • Emerging fluency with AI governance standards, prompt engineering, or agentic AI tooling in analytical…
Position Requirements
10+ Years work experience
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