Lead AI Engineer – Boutique Hedge Fund (Front Office AI Tech Engineering role supporting Portfolio Managers & Investment Analysts) in London

Lead AI Engineer – Boutique Hedge Fund (Front Office AI Tech Engineering role supporting Portfolio Managers & Investment Analysts) in London

London Full-Time 67500 - 82500 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead AI initiatives to enhance investment strategies and decision-making processes.
  • Company: Dynamic boutique hedge fund focused on innovation and AI integration.
  • Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
  • Other info: Join a collaborative team and make a significant impact in a fast-paced environment.
  • Why this job: Be at the forefront of AI in finance and shape the future of investment strategies.
  • Qualifications: 5+ years in Fixed Income/Credit with strong AI and analytical skills.

The predicted salary is between 67500 - 82500 £ per year.

Lead AI Engineer – Boutique Hedge Fund (Front Office AI Tech Engineering role supporting Portfolio Managers & Investment Analysts)

Martis Search are delighted to be partnering with a successful and highly entrepreneurial Hedge Fund on what we believe is one of the most innovative and forward-looking opportunities currently available within the Hedge Fund market.

We are representing a boutique, London-based diversified Hedge Fund in the appointment of a permanent “Lead AI Engineer.”

This is a newly created, highly strategic hire and represents the firm’s first dedicated AI-focused appointment.

The role offers exceptional visibility across the organisation and the opportunity to work directly alongside Portfolio Managers, Investment Analysts and senior leadership to help shape how AI is embedded into the investment process.

In summary, this is a predominantly Front Office-facing role focused on leveraging AI technologies to improve investment decision-making, optimise workflows, enhance research capability and ultimately contribute towards revenue generation and alpha creation across the business.

The successful candidate will report directly to the COO (with the potential for the role to evolve into a dedicated Front Office reporting line over time) and will act as the central point of expertise for AI implementation across the firm.

The position combines investment knowledge, technical capability and stakeholder engagement, requiring an individual who can bridge the gap between investment professionals and AI-enabled solutions.

The role will involve

  • Identifying and implementing practical AI use cases across investment and operational functions.
  • Working closely with Portfolio Managers and Investment Analysts to enhance research, idea generation and decision-making processes.
  • Helping shape the firm’s broader AI strategy and long-term roadmap.
  • Promoting the responsible, secure and effective use of AI technologies across the organisation.
  • Building, testing and deploying AI-driven tools and workflows.
  • Acting as an internal advisor and educator to support adoption across the business.

Our client currently utilises the Enterprise versions of both Anthropic Claude and Open AI Chat GPT.

Therefore, demonstrable experience using AI tools within a Fixed Income and/ or Credit investment environment is considered essential.

The firm is open-minded regarding background and recognises that strong candidates may come from a variety of Front Office or technical investment disciplines.

However, applicants should ideally possess a minimum of 5-years’ experience within Fixed Income and/or Credit markets.

Examples of relevant backgrounds may include

  • Fixed Income/ Credit Quantitative Analyst
  • Fixed Income/ Credit Quantitative Developer
  • Fixed Income/ Credit Data Engineer/ Machine Learning SME
  • Fixed Income/ Credit Research Analyst
  • Investment Technology, or Front Office Strategy Specialist within a Hedge Fund, or Asset Management environment

Candidates must possess outstanding academic credentials from a leading university, alongside exceptional communication and stakeholder management skills.

The successful individual will regularly engage with senior investment professionals and will be expected to operate in both an advisory and hands-on delivery capacity.

The role is 4-days per week in the office and x 1 day working-from-home.

Key Responsibilities

  • Partner with Front Office teams and senior management to identify opportunities where AI can improve productivity, research capability and investment decision-making.
  • Run workshops, demonstrations and one-to-one sessions to encourage AI adoption and innovation across the business.
  • Design and implement AI-enabled tools, workflows and solutions.
  • Contribute towards the development of the firm’s AI governance and best-practice framework.
  • Document, maintain and oversee AI tools and related processes.
  • Act as a key internal advocate for the practical and responsible use of AI technologies.
  • Key Requirements
  • Strong understanding of Fixed Income and/ or Credit products and investment processes.
  • Hands-on exposure to AI, machine learning, data engineering or workflow automation.
  • Strong analytical, numerical and problem-solving capabilities.
  • Experience building or working with custom GPTs, AI assistants, connectors or AI-enabled workflows.
  • Strong appreciation of both the opportunities and limitations associated with AI technologies.
  • Excellent interpersonal and communication skills, with the ability to engage both technical and non-technical stakeholders.
  • Ability to operate in a fast-paced, entrepreneurial environment and manage multiple initiatives simultaneously.
  • Systems-oriented mindset with the ability to conceptualise processes, workflows and scalable solutions.
  • Preferred Technology Exposure
  • Open AI Chat GPT Enterprise
  • Anthropic Claude Enterprise
  • Python
  • VBA
  • Power BI
  • Excel
  • AI workflow automation and data visualisation tools
  • CFA and/or IMC qualification advantageous.
  • Experience within Hedge Funds, Asset Management, or institutional investment environments preferred.

The firm is highly flexible regarding background, seniority and overall profile, with the primary focus being on identifying an individual capable of driving meaningful change and innovation across the organisation.

This is a rare opportunity to join a growing Hedge Fund in a genuinely strategic capacity and play a defining role in how AI is integrated into the investment process from an early stage.

Lead AI Engineer – Boutique Hedge Fund (Front Office AI Tech Engineering role supporting Portfolio Managers & Investment Analysts) in London employer: Martis Search

Join a prestigious boutique Wealth Management Asset Manager in Mayfair, where you will receive unparalleled exposure and mentorship from a highly experienced Head of Operations. Our collaborative work culture fosters continuous learning and development, allowing you to enhance your coding skills while contributing to meaningful projects in Investment Operations. With competitive salary packages, hybrid working options, and a focus on employee growth, this is an exceptional opportunity for those seeking a rewarding career in finance.

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Contact Details:

Martis Search Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Engineer – Boutique Hedge Fund (Front Office AI Tech Engineering role supporting Portfolio Managers & Investment Analysts) in London

✨Join Local Tech Meetups

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We think you need these skills to ace Lead AI Engineer – Boutique Hedge Fund (Front Office AI Tech Engineering role supporting Portfolio Managers & Investment Analysts) in London

AI Implementation
Machine Learning
Data Engineering
Workflow Automation
Fixed Income Knowledge
Credit Products Knowledge
Analytical Skills

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Martis Search.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Martis Search and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Martis Search

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Martis Search uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.