Finance/Credit Model Risk Manager

Affirm; Poland; Remote; PLN 692,000 - 874,000; Full time

Job summary

A financial technology company is seeking a quantitative professional for their Model Risk Management team in Poland. The role involves conducting validations of complex models, identifying weaknesses, and collaborating with various teams to enhance frameworks. Candidates should have over 6 years of experience in model validation, strong expertise in ALM and corporate finance, and skills in Python and SQL. This position offers a competitive salary and benefits package in a remote-first work environment.

Benefits

Competitive salary

Equity rewards

100% subsidized medical coverage

Monthly stipends for health, wellness, and tech spending

Qualifications

• 6+ years of experience in model development or validation.
• Deep knowledge of ALM, treasury, and corporate finance.
• Hands-on ability to script in Python and manage large datasets.

Responsibilities

• Conduct independent validations of complex models.
• Identify model weaknesses and improve tools.
• Collaborate to remediate findings and enhance frameworks.
• Ensure compliance with audit and regulatory expectations.

Skills

Model validation

Data analytics

Python scripting

SQL

Interpersonal skills

Education

BS, MS, or PhD in a quantitative field

Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We're looking for a sharp, driven quantitative professional to join our dynamic Model Risk Management (MRM) team. This is your chance to dive deep into the models that power our most critical business decisions. You'll collaborate across the company to shape a best-in-class risk framework, ensuring our models are robust, reliable, and ready for the future. If you're passionate about the intersection of data science, finance, and risk, this role is for you.

What You’ll Do

• Conduct rigorous, independent validations of sophisticated models across finance, treasury, credit, and analytics, through in-depth review, testing and ongoing monitoring to ensure their accuracy and integrity
• Identify key model weaknesses and highlight opportunities for improvement, helping teams build stronger, more powerful tools
• Collaborate with teams across the business to drive the remediation of validation findings
• Partner with model owners and developers to implement and enhance our company-wide MRM framework, ensuring it remains effective and innovative
• Work closely with our Accounting, Internal Controls, and Compliance teams to ensure we meet and exceed all audit and regulatory expectations

What We Look For

• 6+ years of professional experience in a technical role like model development, model validation, or data analytics
• Deep knowledge of ALM, treasury, and corporate finance. Experience with credit risk is a strong plus
• Hands-on ability to script in languages like Python and wrangle large-scale datasets with SQL
• A BS, MS, or PhD in a quantitative field such as Quantitative Finance, Math, or Data Science
• A natural problem-solver with a meticulous eye for detail, a deep curiosity for how models work, and excellent critical-thinking skills
• Exceptional interpersonal and communication skills, with a proven ability to translate complex technical ideas for any audience

Affirm offers a competitive compensation package, including a base pay range of $215,000 - $265,000 per year for USA locations (CA, WA, NY, NJ, CT) and $191,000 - $241,000 per year for other U.S. states. We also provide equity rewards, monthly stipends for health, wellness, and tech spending, and benefits, including 100% subsidized medical coverage, dental, and vision for you and your dependents.

We believe in providing an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Affirm is proud to be a remote-first company, and the majority of our roles are remote. We are an equal opportunity employer and welcome applications from diverse candidates.