Senior Data Scientist - Finance

About the Role

Our client is seeking an accomplished Senior Data Scientist specializing in Finance to join their fully remote team. This role is instrumental in leveraging advanced analytics and machine learning techniques to drive data-driven insights and solutions for complex financial challenges. You will work on projects ranging from fraud detection and risk modeling to customer analytics and predictive forecasting, collaborating with cross-functional teams to translate data into actionable business strategies. This is a unique opportunity for a seasoned data professional to contribute impactful solutions from anywhere in the UK .

Key Responsibilities

• Design, develop, and deploy advanced statistical models and machine learning algorithms for financial applications.
• Extract, clean, and transform large datasets from various sources for analysis and modeling.
• Conduct exploratory data analysis to identify trends, patterns, and correlations relevant to financial operations.
• Collaborate with business stakeholders to define project requirements and deliver data-driven insights and recommendations.
• Build and maintain data pipelines, ensuring the integrity and reliability of data used for analysis.
• Mentor junior data scientists and contribute to the development of best practices within the data science team.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Finance, or a related quantitative field.
• 5+ years of professional experience in data science, with a significant focus on the financial services industry.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Experience with SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, Azure, GCP).
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

Benefits

• Highly competitive salary and potential for performance-based bonuses.
• Fully remote working environment with flexibility.
• Comprehensive private health, dental, and vision insurance.
• Generous pension scheme and life assurance.
• Opportunities for continuous learning, professional development, and attending industry conferences.