Credit Risk Modeler

Deel; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A global payroll and HR platform is seeking an experienced professional for credit risk modeling, focusing on regulatory compliance and model governance. The ideal candidate will have over 7 years in risk analytics and a strong quantitative background. This role offers the flexibility of remote work and competitive stock grant opportunities.

Benefits

Stock grant opportunities

Flexible remote work

WeWork access options

Qualifications

• Minimum of 7 years of experience in credit risk modeling or risk analytics roles.
• Demonstrated experience in developing models.
• Strong technical proficiency in quantitative modeling.

Responsibilities

• Develop, implement, and calibrate credit risk models.
• Ensure models are audit-ready and compliant with regulations.
• Analyze model outputs to identify portfolio-level trends.

Skills

Credit risk modeling

Risk analytics

Quantitative modeling

Regulatory compliance

Education

Master’s or higher in Statistics, Mathematics, Economics, Finance

Job description

Overview

Who we are is what we do. Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.

Among the largest globally distributed companies in the world, our team of 6,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

Why join Deel

As a fast-growing SaaS company, Deel is transforming how global talent connects with world-class companies and enabling a more diverse and inclusive global economy. In 2024 Deel paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.

We are proud of our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and recognition on Y Combinator’s list, with a high rating across G2, Trustpilot, Capterra, Apple and Google.

Your experience at Deel will be a career accelerator. You will tackle complex challenges that impact millions of people and build expertise that positions you as a leader in the transformation of global work.

About the role

Deliver expertise and ownership in designing, developing, validating, and maintaining credit risk models that underpin sustainable credit decision-making, regulatory compliance, and data-driven business insights. As a core member of the Credit Risk & Analytics function, you will build credit risk models, support model governance and performance monitoring, and enable predictive and transparent credit modeling aligned with enterprise risk strategy.

Responsibilities

• Develop, implement, and calibrate credit risk models.
• Ensure models are audit-ready, explainable, and compliant with regulatory expectations around transparency.
• Support validation activities, leveraging statistical best practices and back-testing; refine models as needed.
• Monitor model performance metrics (e.g., accuracy, stability) and deploy corrective actions when required.
• Maintain detailed documentation of model methodology, assumptions, and validation results.
• Analyze model outputs to identify portfolio-level trends, concentrations, or emerging risk patterns.
• Ensure modeling practices align with regulatory standards and internal requirements.
• Participate actively in risk model governance processes, model approval workflows, and audit reviews.
• Explore and apply explainable AI techniques to enhance model transparency and stakeholder trust.
• Act as a subject-matter advisor to product teams, risk committees, internal audit, and regulators regarding model design and performance.
• Communicate complex modeling outcomes in clear, actionable terms suitable for both technical and non-technical audiences.

Skills and Competencies

• A minimum of 7 years of experience in credit risk modeling or risk analytics roles, preferably within consumer or small business lending.
• Demonstrated experience developing models.
• Strong technical proficiency in quantitative modeling.
• Experience ensuring regulatory compliance in model development and validation.
• Familiarity with model governance, documentation standards, and audit-ready practices.
• Advanced degree (Master’s or higher) in a quantitative field such as Statistics, Mathematics, Economics, Finance, or a related discipline.
• Professional certifications such as FRM, PRMIA, or equivalent are a plus.

Total Rewards

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.

Some things you’ll enjoy

• Stock grant opportunities dependent on your role, employment status and location
• Additional perks and benefits based on your employment status and country
• The flexibility of remote work, including optional WeWork access

Deel is an equal-opportunity employer that values diversity and encourages applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other legally protected characteristics.

We will communicate with job applicants using Deel-specific emails, which include @deel.com and other company emails. You can view the most up-to-date job listings on our careers page.

Deel is committed to cultivating a diverse and inclusive workplace. Deel will provide accommodation on request during the recruitment process for applicants with disabilities. If you require accommodation, please inform our Talent Acquisition Team at [e-mail].

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