Martis Search
Front Office AI & Investment Technology Specialist – Boutique Hedge Fund
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The Role
Front Office AI & Investment Technology Specialist – Boutique Hedge Fund
Circa 5 Years' Experience | Financial Services | AI Implementation | Front Office Investment & Trading Technology
Martis Search are delighted to be partnering with a successful, entrepreneurial and growing London-based Credit focused Hedge Fund to appoint a permanent “Front Office AI & Investment Technology Specialist.”
This is a newly created position offering an opportunity to work directly with Portfolio Managers, Investment Analysts and senior management to develop and implement innovative AI-driven solutions that enhance the firm's investment capabilities and contribute to increased revenue generation.
Our client is looking for a highly technical, commercially minded individual with approximately five years' professional experience within Financial Services, ideally gained within a Hedge Fund, Investment Bank, Asset Manager or Trading Company.
The successful candidate will have experience working closely with Front Office investment or trading teams, identifying business challenges and developing practical technology-driven solutions that improve efficiency, investment analysis, trading capabilities and commercial performance.
The ultimate objective of this appointment is to leverage AI and technology to help the Hedge Fund's Portfolio Managers and Investment Analysts make better-informed investment decisions, identify new investment opportunities and generate additional investment returns.
Our client is open-minded regarding candidates' previous job titles and specific professional backgrounds.
They are looking for someone who has previously held a dedicated AI position for a number of years within Financial Services. They are looking for an individual who possesses strong technical capabilities, understands how investment and trading businesses operate and can demonstrate an ability to use AI, programming, data and automation to solve complex commercial problems (i.e. understanding what is “under-the-bonnet” of AI and not someone who has picked up Chat GPT in the last year and thinks that they are now an AI expert).
This is a hands-on position requiring someone who can take ownership of an idea, develop a practical solution and successfully implement it within the investment business.
The role will report directly into a senior manager, with significant interaction with Portfolio Managers, Investment Analysts and senior leadership.
The firm currently utilises Enterprise versions of both Anthropic Claude and OpenAI ChatGPT and is looking to significantly expand its use of AI across the investment business.
The successful candidate will play a central role in identifying, developing and implementing these opportunities.
Key Responsibilities
Front Office Collaboration & Revenue Generation
- Work directly with Portfolio Managers, Investment Analysts Front Office professionals to understand their investment strategies, workflows, analytical requirements and commercial objectives.
- Identify opportunities where AI, automation and technology can improve investment research, portfolio analysis, trading processes and investment decision-making.
- Develop practical solutions that help Front Office teams identify investment opportunities, improve the quality and speed of investment analysis and enhance portfolio performance.
- Collaborate with investment professionals to identify complex problems and translate them into commercially valuable technology solutions.
- Develop tools and processes that reduce manual workloads, improve access to investment information and allow Portfolio Managers and Analysts to spend more time on revenue-generating activities.
- Evaluate the commercial impact of implemented solutions, including improvements in productivity, analytical capability, investment processes and potential revenue generation.
AI Development, Implementation & Automation
- Design, build, test and implement AI-driven tools and applications that support the firm's investment activities.
- Leverage large language models (LLMs), including OpenAI ChatGPT and Anthropic Claude, to develop practical solutions to complex investment and trading-related problems.
- Develop AI-powered research tools, investment analytics, data extraction processes and automated workflows.
- Identify opportunities to integrate AI with existing investment management systems, financial databases and internal technology platforms.
- Use programming, data analytics and automation tools to develop scalable solutions that improve business performance.
- Work with internal stakeholders to ensure AI solutions are reliable, secure, practical and appropriate for use within a regulated investment environment.
- Continuously evaluate emerging AI technologies and identify opportunities to apply them within the business.
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Investment Research & Decision Support
- Develop tools that improve the speed, accuracy and efficiency of investment research and financial analysis.
- Help Portfolio Managers and Investment Analysts extract meaningful insights from large volumes of financial, market and company data.
- Develop automated processes to analyse financial statements, research reports, company announcements, market information and other relevant investment data.
- Explore opportunities to use AI to support investment idea generation, portfolio monitoring, risk analysis and investment decision-making.
- Work with Front Office teams to improve the accessibility, organisation and interpretation of investment information.
Stakeholder Engagement & AI Adoption
- Act as a key point of contact between Front Office investment professionals and the firm's technology and AI initiatives.
- Translate complex investment and commercial requirements into practical technical solutions.
- Demonstrate newly developed tools and provide guidance to Portfolio Managers and Investment Analysts.
- Support the adoption of AI across the investment business through training, demonstrations and ongoing collaboration.
- Contribute to the development of the firm's longer-term AI and investment technology strategy.
Key Requirements
Financial Services Experience
- Approximately five years' professional experience within Financial Services, ideally gained within a Hedge Fund, Investment Bank, Asset Manager or Trading Company.
- Experience working closely with Front Office investment, trading, research or portfolio management teams.
- An understanding of how investment and trading businesses generate revenue and how technology can improve investment processes and commercial performance.
- Experience identifying business challenges and developing technical solutions that deliver measurable improvements.
- Exposure to Fixed Income, Credit, Equities, FX, Derivatives or other financial markets would be advantageous.
AI & Technical Capabilities
- Strong practical knowledge of AI technologies, including large language models and their application to complex business problems.
- Experience developing or implementing AI-enabled applications, automated workflows, analytical tools or technology solutions.
- Ability to use AI tools to analyse information, develop applications, automate processes and solve complex problems.
- Strong programming, data analysis or software development capabilities.
- Experience working with large datasets, financial information and complex analytical processes.
- Ability to translate business requirements into functional technical solutions.
- Understanding of AI model limitations, data security, validation and appropriate governance controls.
Commercial & Interpersonal Skills
- A commercially minded individual who understands that the purpose of technology is to improve investment capabilities and business performance.
- Strong problem-solving skills and the ability to identify opportunities that may not be immediately apparent to investment professionals.
- Excellent communication skills, with the ability to engage directly with Portfolio Managers, Investment Analysts and senior management.
- Comfortable working independently, taking ownership of projects and delivering solutions from initial concept through to implementation.
- An entrepreneurial mindset and willingness to challenge existing processes and introduce new ways of working.
- Ability to work within a small, fast-paced and highly collaborative investment environment.
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Relevant Candidate Backgrounds
Our client is flexible regarding previous job titles and recognises that suitable candidates may come from a variety of technical, investment and Front Office-facing disciplines. Relevant backgrounds could include:
- Front Office Quantitative Developer
- Investment Technology Analyst / Developer
- Front Office Technology Specialist
- AI / Machine Learning Engineer – Financial Services
- Quantitative Analyst / Researcher
- Investment Data Scientist
- Trading Technology Analyst / Developer
- Front Office Business Analyst with strong technical and automation capabilities
- Investment Research Analyst with strong AI and programming experience
- Financial Markets Data Engineer
- Front Office Automation / Process Improvement Specialist
- Investment Analytics Developer
- Financial Services AI Solutions Engineer
Candidates do not necessarily need to have held a dedicated AI position previously.
The key requirement is demonstrable experience working with Front Office investment or trading professionals and using technology, AI, programming or automation to develop solutions that improve investment processes and commercial outcomes.
Preferred Technology Exposure
Experience with some of the following technologies would be advantageous:
- OpenAI ChatGPT Enterprise / OpenAI API
- Anthropic Claude Enterprise / Anthropic API
- Python
- SQL
- JavaScript
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents and AI Workflow Automation
- Machine Learning
- Financial Data Analytics
- Bloomberg / Refinitiv
- Excel / VBA
- Power BI
- Financial APIs and Data Integration Tools
Candidates are not expected to possess experience with every technology listed above. The emphasis is on practical technical capability, problem-solving and the ability to develop and implement solutions that deliver commercial value.
Education & Qualifications
- Strong academic background, ideally within Computer Science, Mathematics, Engineering, Physics, Finance, Economics or another relevant quantitative or technical discipline.
- Relevant professional experience and demonstrable technical achievements will also be considered.
- CFA, CQF or other relevant financial or technical qualifications would be advantageous but are not essential.
The Opportunity
This is an opportunity to join a growing, entrepreneurial Hedge Fund in a newly created position with significant exposure to the firm's investment professionals and senior leadership.
The successful candidate will have the opportunity to take ownership of AI development and implementation initiatives, working directly with Portfolio Managers and Investment Analysts to deliver solutions that have a tangible impact on the firm's investment capabilities and commercial performance.
Our client is particularly interested in individuals who enjoy solving complex problems, developing innovative technology solutions and seeing their work make a measurable difference to business performance. The firm is open-minded regarding candidates' previous job titles and specific financial markets backgrounds.
The priority is identifying a technically capable, commercially minded individual who can work effectively with Front Office investment professionals and successfully implement AI-driven solutions.
Working arrangements: Four days per week in the London office and one day working from home.
Salary & Benefits
£100,000–£500,000 per annum (dependent upon experience) and suitability, plus competitive bonus, pension, private healthcare and additional benefits.
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