Senior Credit Risk Modelling Analyst

4 days ago

London, Greater London, United Kingdom Harnham Full time
About the Role

We are seeking a highly skilled Credit Risk Modelling Analyst to join our team at Harnham. As a key member of our risk management team, you will play a crucial role in shaping our risk management strategies and ensuring the financial well-being of our customers.

Key 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.
Requirements
  • 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.
What We Offer
  • Hybrid working environment
  • Competitive benefits package

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