Our AI and Data recruitment experts partner with leading hedge funds, asset managers, and capital markets firms to secure exceptional mid to senior level candidates. Backed by deep sector knowledge and relationships built over a decade, Harrington Starr delivers established Data and AI talent that accelerates innovation and sharpens competitive edge.
The Data and AI landscape is experiencing unprecedented growth. As we move through 2026 and beyond, demand for talented Data engineers, AI specialists, and ML experts shows no signs of slowing. The rise of financial data engineering has become central to competitive advantage across the sector.
Financial services and fintech firms are investing heavily in financial data engineering, AI, and financial data analytics to support trading performance, platform scalability, and long-term growth. We support hedge funds, asset managers, and fintech firms through specialist data recruitment, helping organisations secure professionals aligned to financial systems, cloud platforms, and real-time data environments.
Building and scaling financial data engineering solutions, including real-time trading pipelines, cloud transformation (AWS, Azure, GCP), and modernising legacy financial data infrastructure.
Quantitative and financial data analytics roles aligned to trading desks, portfolio management, and systematic trading
ML engineers for AI-driven trading strategies and algorithmic models
Senior leaders driving data strategy, governance, and fintech data architecture, ensuring firms retain control of proprietary data assets.
Cloud engineers focused on AWS/Azure for trading infrastructure and scalable platforms
Since launching in 2010, we have grown into a multi-award-winning fintech recruitment company with a strong reputation in AI and Data recruitment. Whether you're building systematic trading platforms, scaling your front-office analytics function, or transforming legacy Data infrastructure, our specialist consultants are dedicated to sourcing the best and brightest professionals to power your competitive advantage
We qualify every requirement against real market conditions. Our consultants actively map the financial Data and AI talent market, speaking to engineers, analysts, and AI specialists across hedge funds, fintech firms, and trading organisations. This allows us to advise on candidate availability, salary expectations, and realistic hiring timelines.
Our Data recruitment specialists focus exclusively on financial services and fintech. This includes professionals working across trading systems, financial data engineering, and cloud-based analytics platforms. This specialism ensures candidates understand the technical and commercial context of financial markets.
We move quickly by maintaining active relationships across the financial Data and AI talent market. Many of the professionals we work with are not actively applying for data jobs but are open to the right opportunity. This allows us to introduce relevant candidates efficiently while maintaining quality.
We’ll tell you if your requirements need refinement. Whether it’s salary expectations, tech stack alignment, or experience within specific trading environments, we provide clear market insight based on real conversations with Data and AI professionals across financial services and fintech.
Our consultants actively track candidate availability across financial data engineering, AI, and financial data analytics roles, allowing us to advise on what is achievable within your timeframe. This includes identifying where expectations may limit access to the strongest candidates, and where small adjustments can significantly improve hiring outcomes.
The Data and AI recruitment market is stronger than ever. Over the past 12-18 months, we've witnessed a remarkable shift in hiring conditions. Where uncertainty once dominated, firms are now actively investing in Data and AI capabilities, driven by:
In hedge funds and systematic trading firms, Data and AI directly influence trading performance. The strongest front-office engineers are rarely active and often bound by bonuses or non-competes.
Through daily engagement in this market and our 48-hour mobilisation process, we provide live intelligence on availability, compensation and realistic timelines, enabling hiring managers to secure impact talent faster.
Leading funds compete aggressively for elite Data and AI talent. Compensation, bonus cycles and restrictive covenants shape movement far more than job titles alone, particularly within hedge funds and front-office environments.
We educate, recalibrate and represent our clients accurately in market, aligning expectations around compensation, timelines and competition to protect both hiring velocity and long-term reputation.
New and scaling hedge funds are building Data infrastructure ahead of fixed trading go-live dates. Capital is committed and delays are costly. Hiring technically strong engineers without front-office capital markets exposure can stall delivery.
In lean environments, they must operate autonomously from day one. We engage Data engineers who understand live trading workflows and production pressure, ensuring launch capability matches ambition.
Following bonus cycles, senior Data and AI professionals within hedge funds and trading firms are more open to change. Market confidence has improved, and high-calibre engineers are reassessing long-term alignment and opportunity.
Our consistent engagement with front-office talent means we understand who is genuinely open, who is restricted by covenants, and when movement is realistic, allowing clients to act decisively within this limited hiring window.
James joined the business back in 2016 after having worked in SAP UK recruitment market for a couple of years. Since joining Harrington Starr James has accelerated his career from consultant to VP and now looking after the Support and Testing Desk here at Harrington Starr in London.
Harriet joined Harrington Starr in 2014, growing with the business and demonstrating a true aptitude for world-class recruitment. Harriet recruits into any roles within IT Support, Infrastructure and Support/Infrastructure Management within financial services; and mainly interacts with boutique and SME financial clients in London.
I specialise in placing highly qualified and motivated candidates into permanent Application support roles, generally within the financial industry. In order to provide the highest quality candidate and that are ideal for their next workplace, we over here at Harrington Starr pride ourselves on our world class conversations with our customers.
Jonny partners with buy-side and sell-side financial services firms, helping them hire top talent across data science, AI engineering and quantitative research. He’s particularly interested in how AI, from LLMs to MLOps, is reshaping trading, risk and data infrastructure. What excites him most is connecting people with roles where they can build the future of intelligent systems.
Whether you're a hands-on Data engineer specialising in AWS or Azure, a Data scientist building ML models for systematic trading, or an experienced Data leader seeking your next challenge, our dedicated team is here to help you secure a role that aligns with your long-term career ambitions.
Demand for Data and AI jobs remains exceptionally strong, driven by cloud transformation, front-office trading initiatives, and AI-driven competitive strategies.
From real-time trading data pipelines to machine learning research, from cloud infrastructure to quantitative analytics, we connect you with opportunities where you can genuinely excel and make an impact. With transparent communication, deep market knowledge, and a specialist-led approach, we ensure you're positioned for success in this dynamic and rapidly evolving market.
