to lead our advanced analytics team. This pivotal role involves developing and overseeing sophisticated models and algorithms to drive strategic decision-making across our organisation. The ideal candidate will possess a strong background in machine learning, AI, and data science, with proven leadership capabilities. They will be responsible for guiding research initiatives, managing technical teams, and collaborating with cross-functional departments to implement cutting-edge solutions. Expertise in cloud computing platforms such as AWS, as well as proficiency in programming languages including Python, R, STATA, and MATLAB, is essential. A deep understanding of natural language processing, signal processing, data mining, and software development is also required to succeed in this role.
Duties
Lead the design and implementation of advanced quantitative models leveraging machine learning, AI, and natural language processing techniques.
Oversee the development of scalable data pipelines and analytics infrastructure using AWS cloud services.
Manage a team of researchers and engineers specialising in data mining, signal processing, and software development.
Collaborate with product teams to translate research findings into practical applications and strategic initiatives.
Ensure the deployment of robust algorithms using frameworks such as TensorFlow, PyTorch, and Caffe.
Drive innovation by exploring emerging technologies in AI and machine learning to maintain competitive advantage.
Conduct rigorous testing and validation of models to ensure accuracy, reliability, and compliance with industry standards.
Facilitate knowledge sharing through workshops, training sessions, and documentation to foster organisational growth in AI expertise.
Experience
Extensive experience in leading quantitative research teams within a technology-driven environment.
Proven track record of developing machine learning models using Python, R, MATLAB, STATA or similar languages.
Strong familiarity with cloud computing platforms such as AWS for deploying large-scale data solutions.
Demonstrable expertise in natural language processing, signal processing, data mining, and software development best practices.
Proficiency with deep learning frameworks including TensorFlow and PyTorch.
Experience working with Linux-based systems for high-performance computing environments.
Solid understanding of SQL databases for data extraction and management.
Knowledge of AI principles across various domains including finance, healthcare or technology sectors is highly desirable. This role offers an exciting opportunity to shape the future of our organisation's data-driven initiatives through innovative research leadership and technical excellence.
Job Type: Full-time
Pay: 38,261.96-152,674.83 per year
Benefits:
Work from home
Work Location: Remote
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