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
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