Data Scientist - Financial Modeling

About the Role

Our client is seeking a highly skilled and innovative Data Scientist with expertise in Financial Modeling to join their fully remote team. This role is central to leveraging advanced data analytics and machine learning techniques to build sophisticated financial models that drive strategic decisions and enhance risk management. You will work with vast datasets, developing predictive models, and translating complex analytical findings into actionable business insights for a global organization. This is an exceptional opportunity for a passionate data scientist to work from anywhere in the UK and make a significant impact on the company's financial strategies and operations within the banking & finance sector.

Key Responsibilities

• Develop, validate, and deploy sophisticated machine learning models for financial forecasting, risk assessment, and fraud detection.
• Design and implement robust data pipelines for collecting, cleaning, and transforming large, complex financial datasets.
• Collaborate with finance, risk, and business intelligence teams to identify opportunities for data-driven improvements.
• Communicate complex analytical results and model methodologies clearly to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
• Contribute to the ethical and responsible use of data and AI within the organization, ensuring compliance and best practices for a fully remote operation.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on financial modeling and quantitative finance.
• Expertise in programming languages such as Python or R, and proficiency with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Deep understanding of statistical modeling, machine learning algorithms, and their application in finance.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving skills, intellectual curiosity, and the ability to work autonomously in a remote setting.

Benefits

• Highly competitive salary with generous performance-based bonuses.
• Comprehensive benefits package including private health insurance and life assurance.
• Significant professional development budget and opportunities for conference attendance.
• Flexible working hours and the ability to work from any location within the UK.
• A forward-thinking, collaborative, and innovative culture that values data-driven insights.