SENIOR CREDIT RISK MODEL ANALYST

UP TO £90,000

LONDON

COMPANY

We are a dynamic and innovative online bank committed to delivering seamless banking experiences to our customers across the UK. With cutting-edge technology and a customer-centric approach, we are redefining the way banking is done, simplifying processes, and empowering our customers to take control of their financial future.

As a Credit Modelling Analyst, you will play a crucial role in shaping our risk management strategies and ensuring the financial well-being of our customers. Your expertise in statistical analysis, predictive modelling, and credit risk assessment will contribute to making informed credit decisions while maintaining a healthy and sustainable portfolio.

RESPONSIBILITIES

• Develop and enhance credit risk models to assess borrower creditworthiness, utilizing statistical techniques and machine learning algorithms.
• Analyze vast sets of customer data to identify patterns, trends, and potential risks, guiding the creation of actionable insights for the business.
• Collaborate with cross-functional teams, including risk management, data science, and product development, to drive data-informed decisions and support business objectives.
• Monitor the performance of existing credit models, ensuring they remain accurate and up-to-date in a dynamic market environment.
• Participate in the development and implementation of credit policies and procedures to comply with regulatory requirements and industry best practices.
• Contribute to the continual improvement of credit risk management strategies and provide strategic recommendations to optimize portfolio performance.
• Stay up-to-date with industry trends, emerging technologies, and best practices to ensure our credit risk methodologies remain at the forefront of the industry.

REQUIRMENTS

• Bachelor's degree or higher in a quantitative discipline such as Statistics, Mathematics, Economics, Finance, or related fields.
• Proven experience in credit risk modelling, statistical analysis, and data-driven decision making within the financial services industry, preferably in a banking or lending environment.
• Strong proficiency in programming languages such as Python, R, or SAS for data manipulation, analysis, and model development.
• Familiarity with various credit risk models (e.g., logistic regression, decision trees, random forests, etc.) and their applications.
• Solid understanding of banking products, lending principles, and credit risk management concepts.
• Excellent problem-solving skills with the ability to translate complex data into actionable recommendations.
• Strong communication and presentation skills to convey technical information to non-technical stakeholders effectively.
• Experience with data visualization tools and databases will be an advantage.

REWARDS

• Hybrid working in London
• One of the best benefits packages on the market!

Please send your CV

Apply below or send your CV