Senior Lead Data Scientist Credit & Finance Model Validation

Salary: £48,000 - 70,000 per year

Requirements:

• Advanced degree (Masters or PhD) in a quantitative field such as data science, statistics, mathematics, computer science, physics, or engineering, or equivalent experience
• 3+ years of hands-on experience in credit risk and/or IFRS9/CECL impairment modeling
• Strong technical expertise in statistical and machine learning models, with a deep understanding of credit risk and/or IFRS9/CECL provisioning models
• Hands-on experience with programming languages and tools commonly used in data science, such as Python, SQL, Spark, and AWS
• Excellent analytical, problem-solving, and decision-making abilities
• A passion for innovation and staying at the forefront of data science and risk management
• Strong communication and stakeholder management skills, with the ability to convey complex technical information to non-technical audiences
• Knowledge of regulatory requirements and expectations for model risk management
• Experience with Buy Now Pay Later (BNPL), credit cards, personal loans, and payments products is a plus
• Experience mentoring junior validators or leading validation reviews is a plus
• Experience building agentic AI workflows and familiarity with AI governance frameworks and emerging AI regulatory requirements is a plus

Responsibilities:

• Perform independent end-to-end validation of credit risk, finance, and other models, rigorously reviewing and challenging conceptual soundness, data integrity, feature engineering and selection, training and testing, regulatory compliance and fairness, documentation, deployment, monitoring, and business impact
• Independently replicate the model development process where necessary and conduct challenger analyses
• Collaborate closely with first-line data scientists, machine learning engineers, and product stakeholders to understand models business context and ensure transparent communication of model risks and validation findings
• Provide actionable recommendations and formally document validation outcomes in line with internal model governance standards and regulatory expectations
• Drive the continuous enhancement of agentic AI tools that support and accelerate model validation by automating documentation and code review, surfacing cross-source inconsistencies, and streamlining challenger analysis
• Stay up to date with emerging trends in credit and finance modelling and AI/ML technologies
• Maintain robust model risk management frameworks, policies, and procedures in line with evolving regulatory expectations and industry best practices

Technologies:

• Agentic AI
• AI
• AWS
• Support
• Machine Learning
• Python
• SQL
• Spark
• Cloud

More:

We are hiring for a full-time role based in Stockholm or London with a salary range of 78293 - 111960 GBP. We are seeking someone to join us in strengthening model validation and model risk management across credit risk, finance, and AI/ML-driven workflows. This role offers the opportunity to work closely with data scientists, ML engineers, and product stakeholders while helping us enhance agentic AI tools and maintain high governance standards.

last updated 34 week of 2026