Durlston Partners

About the Company

Durlston Partners began recruiting for the world's best Hedge Funds in 2010 and we have grown our business to deliver best-in-class talent to companies in Tech, Quant Finance, Portfolio Management, Data Science & Digital Assets.

Our team operates from our offices in London, New York and Dubai. Led by 5 Partners, we have achieved organic growth and self-funded success without external investment.

Our clients include leading hedge funds, banks, family offices, and AI / Machine Learning firms across global financial hubs such as London, New York, Zurich, Hong Kong, UAE, Qatar and Singapore.

We have played a pivotal role in building teams for multi-billion dollar hedge funds and have provided valuable intelligence and compensation trend insights to support CEOs during critical organisational milestones, including capital raises and M&As.

Want to join a team of brilliant head-hunters, recognised as the best in the market? We are eagerly looking to speak with experienced recruiters in our space.

Contact: hello@durlstonpartners.com for all enquiries.

Listed Jobs

Company Name

Durlston Partners

Job Title

Quantitative Researcher - Systematic Team | UAE

Job Description

Job Title: Quantitative Researcher – Systematic Team Role Summary: Lead quantitative and AI-driven research to develop production-grade investment decision systems. Own knowledge graph infrastructure, GNN/graph‑embedding models, and LLM/NLP extraction pipelines that support systematic fund‑of‑funds strategies and portfolio monitoring. Expectations: - Deliver rigorous research outputs that influence investment evaluations. - Own end‑to‑end AI tools, ensuring data integrity, scalability, and alignment with portfolio workflows. - Communicate insights to senior stakeholders through concise reports and presentations. Key Responsibilities: - Design & refine systems for identifying managers and systematic strategies across external funds. - Apply quantitative and fundamental analytics to assess performance drivers, risk decomposition, factor exposures, and strategy persistence. - Build and maintain manager screening, portfolio construction, monitoring, and scenario‑analysis models. - Monitor hedge‑fund and traditional‑fund portfolios; recommend overlay or hedge strategies. - Construct and evolve domain ontologies; build and version knowledge graphs (Neo4j) with provenance and access controls. - Develop NLP/LLM pipelines for multi‑source information extraction; create hybrid retrieval and relevance‑evaluation mechanisms. - Train node/relationship embeddings, prototype GNNs and hypergraph VGAE models for predictive enrichment of knowledge graphs. - Collaborate with researchers, portfolio managers, and tech teams to integrate, scale, and optimize solutions. - Document methodologies, perform knowledge transfer, and maintain training materials. Required Skills: - Advanced quantitative modeling (stats, econometrics, machine learning). - Expertise in graph databases (Neo4j), graph neural networks, and hypergraph techniques. - Proficiency in NLP/LLM development, extraction, and retrieval‑augmented generation. - Strong programming in Python, SQL, and relevant ML frameworks (PyTorch, TensorFlow). - Ability to interpret complex financial data and translate findings into actionable strategies. - Excellent written and verbal communication for stakeholder reporting. Required Education & Certifications: - Master’s degree or equivalent in quantitative finance, data science, computer science, or economics (preferred). - Professional certifications in data science or finance (e.g., CFA, FRM, or equivalent) are a plus.

London, United kingdom

On site

08-09-2025

Company Name

Durlston Partners

Job Title

Frontend Developer

Job Description

London, United kingdom

On site

Mid level

24-09-2025

Company Name

Durlston Partners

Job Title

Senior Software Engineer

Job Description

**Job Title:** Senior Software Engineer **Role Summary:** Develop and deploy mission-critical software platforms and user interfaces for autonomous systems, collaborating with end users to iterate on high-impact features. Integrate third-party APIs and design scalable internal systems for defense and humanitarian applications. **Expectations:** - 8+ years of professional software engineering experience - Degree in Computer Science, Engineering, or related technical field (or equivalent experience) **Key Responsibilities:** - Design, build, and test core software platforms and user interfaces for autonomous and robotic systems. - Deploy and validate software in real-world environments with autonomous systems and robotics. - Integrate and maintain internal and third-party APIs with rigorous documentation. - Collaborate directly with end users to prioritize and refine features in live operational settings. - Contribute to architectural decisions, system design, and product direction. **Required Skills:** - Proficiency in C++, Rust, and Java for maintainable, high-performance code. - Experience with autonomous systems, robotics, or sensor integration. - Strong software testing and deployment practices for mission-critical environments. - Ability to rapidly iterate on user feedback in dynamic, complex systems. **Required Education & Certifications:** - Bachelor’s degree or higher in Computer Science, Engineering, or equivalent technical discipline. - SC clearance or willingness to obtain SC clearance.

London, United kingdom

On site

Senior

02-10-2025

Company Name

Durlston Partners

Job Title

Head of Infrastructure

Job Description

Job Title: Head of Infrastructure Role Summary: Lead the design and delivery of next-generation trading infrastructure, overseeing cloud migration to AWS and hybrid architectures. Build and mentor high-performing DevOps teams to ensure ultra-low latency, resilient systems for global trading environments. Expactations: 7+ years in infrastructure, DevOps, or cloud engineering within trading, financial services, or high-performance systems. Proven leadership in AWS/hybrid infrastructure and scaling mission-critical platforms. Key Responsibilities: - Architect and implement cloud/on-prem trading infrastructure for real-time global market operations. - Drive migration strategies to AWS, balancing performance, security, and cost in hybrid environments. - Mentor and develop DevOps and infrastructure teams to meet latency-sensitive system demands. - Deploy automation, monitoring, and reliability frameworks for high-speed platform availability. - Partner with engineering, trading, and risk teams to optimize system scalability and responsiveness. Required Skills: - Expertise in AWS, hybrid cloud architectures, and network optimization for low-latency systems. - Advanced skills in infrastructure as code, scripting (Python, Bash), and network reliability. - Leadership experience in designing automated, scalable infrastructure for mission-critical environments. - Collaboration with cross-functional technical and trading teams to align infrastructure with business goals. Required Education & Certifications: Not specified.

London, United kingdom

Hybrid

08-10-2025