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

Python Quant Developer - Up to £150k + Bonus

Job Description

Job title: Python Quant Developer Role Summary: Develop and maintain algorithmic trading solutions, real‑time data processing, and portfolio management tools for a multi‑strategy quantitative fund, collaborating closely with quants across front‑office trading desks. Expectations: Excellent communication and collaboration skills; strong analytical mindset; commitment to continuous learning and rapid delivery in a flat, collaborative environment. Key Responsibilities: - Design and implement complex algorithmic solutions for real‑time data processing and risk analytics. - Create and maintain cross‑asset tools for in‑house pricing, risk management, and trade lifecycle. - Build and enhance portfolio management GUI applications for traders and quants. - Work with SQL databases to extract, transform, and load large financial datasets. - Partner with quants to translate quantitative models into production‑ready software. - Troubleshoot, optimise, and refactor code for scalability and performance across NY and LDN desks. - Document code, processes, and best practices to support knowledge transfer. Required Skills: - Strong proficiency in Python (core language, libraries such as NumPy, pandas, scipy). - Experienced with SQL/relational databases (query design, performance tuning). - Understanding of financial instruments: fixed income, credit, or FX. - Familiarity with algorithmic trading concepts, real‑time data feeds, and risk analytics. - Ability to translate quantitative models into efficient, maintainable code. - Solid problem‑solving skills and attention to detail. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Mathematics, or related STEM discipline. ---

London, United kingdom

Hybrid

27-11-2025

Company Name

Durlston Partners

Job Title

Python Developer

Job Description

Job title Python Developer – Core Engineer Role Summary Design, build, and optimise highly scalable distributed trading systems on Linux using Python, interfacing with a C++ stack, handling 100M+ daily transactions. Expectations Deliver robust, high‑performance software in a fast‑growth algorithmic trading environment; collaborate closely with Lead Core Developer, CTO, and cross‑functional teams; drive system design from concept to production; continuously improve performance and reliability. Key Responsibilities - Architect and develop distributed backend components in Python for market‑making and liquidity provision. - Integrate Python services with existing C++ infrastructure and Linux-based deployment pipelines. - Optimize code paths, memory usage, and concurrency to meet stringent latency and throughput targets. - Design and implement high‑availability, fault‑tolerant pipelines for real‑time transaction processing. - Upgrade and maintain relational (SQL) databases supporting order and trade workflows. - Collaborate with DevOps to monitor, troubleshoot, and scale production services. - Apply source control best practices (Git) and maintain clean, well‑documented codebases. - Participate in code reviews, design discussions, and knowledge sharing within the engineering team. Required Skills - Advanced Python programming; deep familiarity with standard libraries and performance‑critical constructs. - Strong experience designing and deploying distributed systems (microservices, message queues, concurrency models). - Proven ability to develop high‑performance applications from scratch. - Experience with SQL database design, query optimisation, and migration. - Competence in Linux system administration and performance tuning. - Proficiency with source versioning (Git) and CI/CD workflows. - Excellent problem‑solving, debugging, and analytical skills. - Effective communication in a collaborative, fast‑moving team environment. Required Education & Certifications - Bachelor’s degree (BSc) in Computer Science, Engineering, or a related STEM field. - (Optional) Relevant certifications in distributed systems, cloud technologies, or performance engineering.

London, United kingdom

On site

27-11-2025

Company Name

Durlston Partners

Job Title

End User Support Specialist

Job Description

**Job title:** End User Support Specialist **Role Summary:** Provide on‑site Windows and Azure support and administration to hedge fund traders and quants, with exposure to AWS, Linux, and automation tools. Act as the primary “fixer” on the trading floor, ensuring high availability of critical systems and contributing to the scaling of infrastructure operations. **Expectations:** - Deliver timely, high‑quality support to a high‑performing trading team. - Quickly acquire scripting skills and expand technical proficiency across cloud and Linux platforms. - Potential to evolve into a team‑lead role as the business scales and additional engineers join. **Key Responsibilities:** - Troubleshoot and resolve Windows and Azure issues for end users. - Maintain and monitor trading floor systems, ensuring uptime and compliance. - Assist with Azure and AWS administration tasks (deployment, monitoring, cost optimisation). - Configure and manage Linux workloads and automation tooling as required. - Collaborate with traders, quants, and infrastructure lead to understand and address technical needs. - Document knowledge base articles and support workflows. - Participate in office relocation and build projects, adapting support processes as needed. **Required Skills:** - Strong experience with Windows Server and Microsoft Exchange support. - Hands‑on Azure administration (VMs, AD, networking, monitoring). - Basic knowledge of AWS services (EC2, S3, IAM) and Linux system administration. - Scripting proficiency in PowerShell; knowledge of Python, Bash, or similar is a plus. - Familiarity with automation/CI‑CD tooling (e.g., Ansible, Terraform, Azure DevOps). - Excellent troubleshooting, communication, and stakeholder‑management skills. - Ability to work independently and as part of a small on‑site support team. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent work experience. - Microsoft Certified: Azure Administrator Associate preferred. - Additional certifications (e.g., AWS Certified SysOps Administrator, Linux Foundation) are advantageous but not mandatory.

London, United kingdom

On site

04-12-2025

Company Name

Durlston Partners

Job Title

Quantitative Developer

Job Description

Job Title: Quantitative Developer Role Summary: Build and optimise low‑latency, high‑throughput systems that support systematic trading. Design production‑ready models, backtesting tools, and live deployment pipelines in collaboration with quants, traders, and data engineers. Expectations: Deliver scalable, reliable code that translates research ideas into deployable trading solutions. Maintain high performance, rigorous testing, and clear documentation. Proactively contribute to architecture decisions and continuous improvement of the research and execution stack. Key Responsibilities - Develop and maintain low‑latency systems for systematic trading strategies. - Build tools and libraries for model research, backtesting, and live deployment. - Convert quantitative researchers’ signal designs into production‑grade code. - Design and implement efficient data pipelines for ingesting, cleaning, and transforming large‑scale market datasets. - Optimize performance of existing research and execution frameworks. - Participate in architectural decisions around compute, data, and model‑serving infrastructure. Required Skills - Strong programming expertise in Python and/or C++ (high‑performance environments). - Deep understanding of data structures, algorithms, and software engineering best practices. - Experience with financial markets, quantitative research, or data‑intensive systems. - Knowledge of time‑series data, market microstructure, or systematic trading workflows. - Ability to collaborate closely with researchers and produce robust, scalable code. - Proactive mindset with a focus on quality, performance, and reliability. Required Education & Certifications - Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Physics, Finance, or a related field (advanced degree a plus). - Relevant certifications in software development or quantitative finance are a plus.

London, United kingdom

On site

09-12-2025