Our client is a leading organization in the financial services industry, known for innovation and impact. Theyre seeking a passionate professional who is eager to grow, gain broader exposure, and make meaningful contributions. With opportunities to branch into short-term insurance, this role offers the perfect platform for ambitious individuals ready to build a strong career foundation. Key Responsibilities: Contribute to key projects that enhance operational efficiency and client experience. Support business teams with innovative solutions and fresh ideas. Gain exposure to diverse functions within the financial services sector. Develop and expand expertise within the short-term insurance space. Collaborate across teams to drive value creation and deliver results. What Were Looking For: A motivated and ambitious individual seeking career growth and exposure. Someone open to exploring short-term insurance opportunities. Strong communication skills and a willingness to learn. The ability to work in a dynamic, fast-paced environment. A positive, solutions-driven mindset with the drive to succeed. Apply now!

In this role, youll play a critical part in safeguarding the accuracy and integrity of models across credit, finance, fraud, and operational domains. Youll thrive here if you enjoy combining technical expertise with leadership, guiding a team, and influencing outcomes at a senior level all while working with cutting-edge machine learning techniques and emerging technologies. Key Responsibilities: Lead and deliver independent validations across credit risk, operational optimisation, financial crime, and marketing models. Provide subject matter expertise and technical review of advanced AI and ML models. Build challenger models using state-of-the-art machine learning methods. Research and apply best practices in model development, ensuring models meet governance, regulatory, and risk standards. Mentor and guide junior analysts, supporting technical and professional growth. Collaborate with model developers and business stakeholders, providing effective challenge and assurance. Contribute to the enhancement of validation methodologies, frameworks, and tools. Job Experience and Skills Required: Education: Honours Degree in Mathematics, Statistics or Data Science. Experience: 6 years experience in model development within Data Science, with direct exposure to model validation or review. Strong expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced ML/statistical techniques. Skills: Experience with cloud platforms (AWS preferred) and familiarity with emerging technologies such as large language models. Excellent stakeholder management, communication and facilitation skills across multiple disciplines. Apply now! For more exciting Actuarial and Analytics vacancies, please visit: