Financial Services AI Engineer

Leading Point; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A specialist data management firm in London is seeking an experienced AI Engineer to focus on financial services. This hybrid role involves supporting the delivery of AI use cases, conducting analytics, and software development. Candidates should have at least 5 years of experience in financial services and hands-on experience in the AI engineering life cycle. A bachelor's degree in Computer Science or Engineering is required. This position offers varied responsibilities in a dynamic environment.

Qualifications

• Minimum 5 years of essential financial services experience required.
• Hands-on experience in AI engineering life cycle is necessary.

Responsibilities

• Support delivery of AI use cases and workflows.
• Engage in software development and MLOps tasks.
• Implement analytics solutions focused on financial services.

Skills

Pattern Recognition

Neural Networks

Natural Language Processing

Software Development

Analytical Skills

Problem-Solving Skills

Education

Bachelor's degree in Computer Science or Engineering

Job description

Company Description

Leading Point is a specialist Data Management, Risk and AI solutions company based in London, Dubai, and New York. We deliver on complex risk management, foundational data capabilities, data products and AI solution mandates for global banks, asset and wealth managers, insurers and PE / VC.

Role Description

This is a full-time hybrid role for a Financial Services focused AI Engineer at Leading Point. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions – responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis.

Qualifications

• Pattern Recognition and Neural Networks skills
• Computer Science and Software Development skills
• Natural Language Processing (NLP) skills
• Strong analytical and problem-solving skills
• Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience
• Bachelor's degree in Computer Science, Engineering, or related field