Salary :
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Credit Risk Strategy and Analytics based in Canada.
This role offers the opportunity to shape credit risk strategies within a fast-growing financial technology environment.
You will leverage large-scale data assets to design, optimize, and evolve lending risk frameworks.
Working at the intersection of analytics, finance, and technology, you will influence critical decisions around credit policy and product growth.
You will collaborate with cross-functional teams including product, engineering, data science, and financial specialists.
The position provides significant ownership, allowing you to lead end-to-end risk initiatives and create measurable business impact.
This is an ideal opportunity for a data-driven risk professional who thrives in complex environments and enjoys solving challenging problems.
Accountabilities:
The Credit Risk Strategy and Analytics professional will be responsible for developing, implementing, and improving credit risk frameworks while using data-driven insights to support business growth and responsible lending decisions.
- Design and implement credit policies using proprietary and external data sources to improve lending decisions, pricing strategies, and product performance.
- Analyze credit risk trends, portfolio performance, and account activity to identify opportunities to reduce losses and improve risk management.
- Develop actionable recommendations and insights through advanced analytical approaches to support strategic business decisions.
- Collaborate with Product, Data Science, Engineering, and financial teams to develop and scale lending products across different markets and industries.
- Incorporate alternative data sources, including financial statements, banking information, credit bureau data, and other relevant signals into risk assessment models.
- Support the development and optimization of operational risk processes by partnering with internal and external stakeholders.
- Evaluate and improve underwriting frameworks to ensure accuracy, scalability, and alignment with business objectives.
- Communicate findings and recommendations clearly to stakeholders while driving measurable improvements in credit performance.
Requirements:
The ideal candidate combines strong credit risk expertise, analytical capabilities, and business judgment. They should be comfortable working independently, managing ambiguity, and translating complex data into impactful recommendations.
- 5+ years of experience in credit analysis, underwriting, lending, or credit risk management.
- Bachelor’s degree in finance, economics, statistics, or a related quantitative field.
- Strong understanding of risk management principles and financial lending practices.
- Excellent analytical and problem-solving skills with a rigorous, data-driven mindset.
- Experience managing relationships with internal and external stakeholders and delivering projects effectively.
- Ability to operate successfully in a fast-paced, evolving environment with limited structure.
- Strong technical skills, including proficiency with SQL, Excel, and Google Sheets.
- Self-motivated approach with the ability to independently manage priorities and deliver results.
- Experience with quantitative tools such as Python, R, or Stata is preferred.
- Familiarity with credit scoring models, machine learning applications, and data science collaboration is a plus.
- Strong communication skills with the ability to present complex insights clearly and influence decision-making.
Benefits:
- Competitive annual salary range of CA$124,000 – CA$186,000, depending on experience, qualifications, and location.
- Potential eligibility for additional compensation, including equity, company bonuses, and other incentives.
- Comprehensive health and wellness benefits.
- Retirement savings plans and additional financial benefits.
- Wellness programs and employee support initiatives.
- Flexible work environment with opportunities for collaboration and remote flexibility depending on role and location.
- Opportunity to work on impactful financial products used by businesses worldwide.
- Collaborative environment with exposure to technology, data, finance, and innovative risk solutions.
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