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Senior Data Scientist

2 months ago

London, Greater London, United Kingdom Bonhill Partners Full time

Job Title: Senior Data Scientist - Quant Innovation

About the Role:

Bonhill Partners is seeking a highly skilled 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.

Key Responsibilities:

  • Lead the Design and Development of Machine Learning Models: You will 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: You will apply state-of-the-art techniques in machine learning, natural language processing, and deep learning to create personalized investment recommendations.
  • Collaborate with Data Engineers: You will collaborate with data engineers to develop scalable data pipelines for processing and analyzing large volumes of financial data.
  • Conduct Extensive Data Analysis: You will conduct extensive data analysis to understand patterns, trends, and client behaviors in financial markets.
  • Validate and Optimize Models: You will validate and optimize models to ensure accuracy, efficiency, and scalability in real-world scenarios.
  • Communicate Findings: You will communicate findings and model performance to stakeholders, including non-technical team members and executive leadership.
  • Stay Up-to-Date: You will 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: You will 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: You will have proven experience (5+ years) in data science, with a focus on building and deploying recommender systems or similar machine learning models.
  • Strong Proficiency: You will have strong proficiency in programming languages such as Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid Understanding: You will have a solid understanding of financial products, particularly equities and fixed income, and experience working with financial data is highly desirable.
  • Strong Analytical Skills: You will have strong analytical skills and experience with statistical analysis and data visualization tools.
  • Excellent Problem-Solving Abilities: You will have excellent problem-solving abilities and a strong desire to innovate and drive the future of financial technology.
  • Strong Communication Skills: You will have strong communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.