Senior Data Scientist

Bonhill Partners are supporting a Global Investment Bank in their search for a Senior Data Scientist to join their Quant Innovation team. As a Senior Data Scientist, you will play a key role in designing, developing, and implementing advanced machine learning models to build a recommender system that enhances our clients' investment decision-making processes.

Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.

Key Responsibilities:

• Lead the design and development of machine learning models to build a recommender system for equities and fixed income products.
• Apply state-of-the-art techniques in machine learning, natural language processing, and deep learning to create personalized investment recommendations.
• Collaborate with data engineers to develop scalable data pipelines for processing and analyzing large volumes of financial data.
• Conduct extensive data analysis to understand patterns, trends, and client behaviors in financial markets.
• Validate and optimize models to ensure accuracy, efficiency, and scalability in real-world scenarios.
• Communicate findings and model performance to stakeholders, including non-technical team members and executive leadership.
• Stay up-to-date with the latest advancements in machine learning, recommender systems, and financial technology to continuously improve the system.
• Mentor and guide junior data scientists and provide technical leadership within the team.

Qualifications:

• MSc or PhD in Machine Learning, Computer Science, Data Science, or a related field.
• Proven experience (5+ years) in data science, with a focus on building and deploying recommender systems or similar machine learning models.
• Strong proficiency in programming languages such as Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of financial products, particularly equities and fixed income, and experience working with financial data is highly desirable.
• Strong analytical skills and experience with statistical analysis and data visualization tools.
• Excellent problem-solving abilities and a strong desire to innovate and drive the future of financial technology.
• Strong communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

Look forward to hearing from you!