Associate, Risk Advisory, Data Analytics Ankura

Our Data Analytics team sits within the Risk Advisory practice, which is one of six practices focused on client delivery services across the Firm.

We help businesses, government entities, and law firms to address their most complex and pressing concerns and make well informed decisions, using some of the most advanced analytics and technology, tools, and techniques.

We are looking for a passionate and technically skilled software engineer to join our Data Analytics team. This is a great opportunity to work on real-world AI projects, including training large language models (LLMs), data modeling, and AI hardware testing. You will also help research, test, and customize advanced AI solutions both on-premise and in the cloud.

• Assist with project scoping calls and developing work stream process plans.
• Work with the solutions and delivery teams to design, develop, and deploy cutting-edge AI solutions that solve real business challenges and create new opportunities for innovation.
• Assist in testing machine learning models, including LLMs (e.g., GPT, LLaMA, Falcon).
• Identify and assess business problems that can be addressed using AI technologies.
• Conduct comparative research on available ML/LLM models (cloud-based, proprietary, and open source).
• Drive innovation by exploring emerging trends in AI and proposing relevant pilots or proofs-of-concept.
• Provide support in data preparation, preprocessing, and pipeline optimization.
• Conducting quality control checks to ensure accuracy of tasks/deliverables;
• Assist in the preparation of reports, written analyses, trial and other presentations, quantitative exhibits, and other client deliverables; and
• Maintain detailed working records reflecting assumptions, methodologies, and information sources employed during the performance of all analytical tasks.
• Identify, research, and organise information to assess the appropriateness and sufficiency of available data to facilitate effective data access and analysis; and
• Design innovative approaches to solve data related challenges.
• Self and team development

• Responsible for self, peer and Associate task management within a variety of sized projects, including interaction with other team members, professionals from other firms involved in the engagement, and client personnel; and maintain a professional image within the company and project the same to those outside of the company.