Lead Data Scientist - Risk Analytics

About the Role

Our client is seeking an accomplished Lead Data Scientist specializing in Risk Analytics to spearhead their advanced analytics initiatives. This is a fully remote position, empowering you to work from anywhere within the UK. You will lead a team of talented data scientists, developing cutting-edge predictive models and analytical solutions to manage and mitigate financial risks across the organisation. This role is pivotal in driving innovation in risk management through sophisticated data science techniques, contributing significantly to the company's strategic objectives and robust risk framework.

Key Responsibilities

• Lead the design, development, and deployment of machine learning models for credit risk, market risk, and operational risk assessment.
• Mentor and guide a team of data scientists, fostering a collaborative and innovative research environment.
• Collaborate with business stakeholders to understand risk challenges and translate them into data science problems.
• Develop and implement robust data pipelines and analytical frameworks for real-time risk monitoring.
• Stay abreast of the latest advancements in data science, machine learning, and risk analytics, applying them to practical business problems.
• Present complex findings and insights to both technical and non-technical audiences, including senior leadership.

Requirements

• PhD or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.
• 7+ years of experience in data science, with a strong focus on financial risk modeling.
• Proven experience leading data science teams and managing complex projects.
• Expertise in programming languages like Python or R, and proficiency with SQL.
• Deep understanding of machine learning algorithms, statistical modeling, and risk management principles.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.

Benefits

• Highly competitive salary package with performance-based incentives.
• Fully remote working arrangement offering unparalleled flexibility.
• Comprehensive health, dental, and vision insurance coverage.
• Generous contribution to a private pension scheme.
• Significant budget for professional development, conferences, and continuous learning opportunities.