About the Company: A prominent mid-size proprietary trading firm with headquarters in Chicago and offices globally is looking to take on a new Senior Analyst to join one of their Energy Trading teams in London. Following a period of strong performance, they are looking to grow their European Gas and Power Desk. They are backed by a large Multi-Strategy fund that operates both as a liquidity provider and trader across various energy asset classes. This allows Traders and Analysts to leverage a robust proprietary tech stack as well as unique and diverse data across both the buy side and sell side. You would be placed within a close-knit team of talented traders and analysts where you will work to develop trading strategies and initiatives based on fundamental research and deep market knowledge combined with quantitative methods. You will have junior analysts that will support you in your research while learning from you. The fund has significant tech resources with its own proprietary risk management systems and data team so you will have access to the information you need to conduct your analysis and design strategies . Your Role: Work on the development and deployment of simulation models of European Gas markets. This includes daily analysis assessing the impact of fundamentals and external factors Monitor gas production, gas demand including gas to power generation, cross border flows Review, communicate and discuss model performance with the rest of the team as well as other key internal stakeholders. Be a leader in proposing, testing and implementing improvements as required Collecting and maintain up-to-date market information and analyze market conditions to evaluate fundamental trade opportunities Develop and use analytic tools to predict changes in the gas markets Participate in the gross margin formation by providing trade or tactical recommendations View to helping the desk as an execution trader Experience/skills required: Prior Commodities experience. Bachelor’s degree or equivalent in Mathematics, Statistics, Engineering, Econometrics or Applied Economics, or a related field. Knowledge of Python and/or VBA. Proven track record of providing quality analysis in a timely manner. Strong written and verbal communication skills. Strong Excel skills are required. Pre-Application: Please do not apply if you are looking for a contract or remote work You must be eligible to live and work in the UK, without requiring sponsorship Please ensure you meet the required experience section prior to applying Allow 1-5 working days for a response to any job enquiry Your application is subject to our privacy policy, found here:

Job Title: Site Reliability Engineer (SRE) Salary: £120,000 + annual performance bonuses Location: Central London (Hybrid) Company Overview: Join a technology-driven trading firm with over 20 years of experience across global markets. Known for leveraging cutting-edge technology, the firm is built around rapid responses to market opportunities. With a focus on innovation, collaboration, and a hands-on approach to infrastructure-critical applications, this is a dynamic environment where you can have a tangible impact. Role Overview: As a Site Reliability Engineer, you will design, develop, and maintain robust, scalable systems that support mission-critical applications. You'll work on greenfield projects, collaborate across multiple departments including development, IT, and trading teams, and ensure the seamless operation of systems in a fast-paced, high-performance environment. Key Responsibilities: Architect and implement reliable systems to support the firm’s trading infrastructure. Proactively manage infrastructure, ensuring system reliability, scalability, and performance. Collaborate with development, IT, and trading teams to drive automation and continuous improvements. Stay up-to-date with emerging technologies and industry trends to enhance systems. Required Experience: 4+ years of experience in a DevOps or SRE environment. Proficient in one or more programming languages such as Python, Go, Ruby, or Perl. Strong experience with Linux system administration. Hands-on experience with observability tools like Prometheus, Grafana, Thanos, and the ELK stack. Bonus: Familiarity with Kubernetes, Docker, AWS, and GCP. Company Benefits: Newly built modern offices in Central London. Complimentary breakfast, lunch, and unlimited snacks. Premium healthcare for you and your family. Pension contributions. Regular company social events and dinners. Flat organizational structure, promoting a collaborative and innovative work environment. Pre-Application Requirements: This is a permanent position; not suitable for contract or fully remote work. You must be eligible to live and work in the UK without requiring sponsorship. Ensure you meet the experience requirements before applying. Expect a response within 1-5 working days.

Company Insight: The company is a leading global investment management firm that leverages quantitative research and technology to achieve exceptional investment results. With a focus on systematic and data-driven strategies, the firm employs a rigorous approach to financial markets, combining advanced mathematical models with sophisticated trading techniques. The company is known for its collaborative culture and commitment to innovation, driving the development of cutting-edge technology and analytics. Its teams are comprised of top-tier talent from diverse disciplines, working together to optimize performance and capitalize on market opportunities. Through a disciplined and research-oriented approach, the firm aims to deliver strong, risk-adjusted returns for its investors. Your Role: Develop insights and generate ideas for the equity fundamental research team using data-driven approaches. Collaborate across the firm to exchange results, feedback, and custom tools effectively. Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through data analysis, building screening tools, and assessing new and existing datasets for relevance and quality. Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models. Assess the value and relevance of new datasets for specific sectors or stocks. Execute data-driven studies to validate or refute hypotheses for specific research ideas. Experience/Skills Required: Bachelor’s degree in a quantitative or related field Strong programming skills, proficiency in SQL and Python required Experience in analysing complex data sets and research experience with alternative data is a plus Industry experience in fundamental analysis preferred Pre-Application: Please do not apply if you are looking for a contract or remote work You must be eligible to live and work in the UK, without requiring sponsorship Please ensure you meet the required experience section prior to applying Allow 1-5 working days for a response to any job enquiry Your application is subject to our privacy policy, found here: https://www.thurnpartners.com/privacy-policy

About The Business: Team & Company: Lesser-known but nonetheless consistently successful (20% gains year on year for past half-decade), group working on exclusively computer-driven strategies. Renowned for their state-of-the-art proprietary trading engine and data platform. Entirely systematic business where technology operates at its core: employees who predominantly focus within investment are nonetheless highly technical e.g. HPC PhD. Mid-High freq. strategies so very much a real-time environment where nanoseconds count- optimisation and efficiency is key. DNA and Culture: Technical ability and communication skills prioritised over background: current group come from a range of industries (Snapchat, Amazon, OxFORD Asset Management, WorldQuant, Cubist. Laid-back, highly collaborative culture where the ideas taken forward are the most innovative, not those of the most senior in the room. Every engineer reports to the CTO. The fund is committed to furthering professional and technical growth (e.g. CppCon attendance, specialist courses). Location: London, hybrid. Can sponsor EU visas. Some leeway for a seat in NYC. Initial Steps: 1) Submit CV via LinkedIn / Email 2) Introduction to the role with me 3) 1hr VC with existing team-member to assess technical skills and answer any of your questions about working there. About The Roles: All Roles: Comp Sci or Electrical Engineering degree from a top university. Technical ability is priority so candidates with experience in e.g. rust or java will still be considered for Python / C++ roles. Personable and highly communicative. Enthusiasm is essential: recieving feedback proactively, desire to take ownership and have substantial impact. For all roles, 1-4 years of experience in a relevant role is ideal. Focus on writing clean code that can easily be manipulated for implementation is key. Vouching for best-practices in engineering. Quantitative Developer / Research Infra Pathway Work directly with traders, PMs and quant researchers to build out robust, scalable tools and infrastructure for use in real-time trading environment. Unearthing and exploration of traditional and alternative datasets. Leveraging existing technologies, optimisation of desk-specific tools / systems and greenfield builds. Python, SQL is a plus. 2+ years in finance or technology. Data Focused Quant Developer Pathway Work directly with quant division on all tasks related to the fund's highly sophisticated data platform. Ownership over investment datasets and libraries (structured / unstructured, traditional / financial) across research, analysis maintenance, scalability and build-out. Python, SQL, ETL Pipelines. ML experience a plus. 1-4 years in finance or technology. C++ Software Engineer Pathway Ownership over build-outs for integrants of the business's trading engine, across areas including market connectivity, order management, feed handlers etc. Explore new methods for enhancing existing components of the tech set-up and lead-out optimisation of current tools / systems. C++, Python. Experience with metaprogramming is preferred. Accepting applications via LinkedIn quick apply, or alternatively please email your CV to pia.robinson@thurnpartners.com.

Job title: Senior DevOps Engineer Salary: PS250,000-PS350,000 The team: In this role, you will be responsible for a platform that enables continuous deployment of systems throughout the estate. This role is critical in enabling consistent delivery and minimizing the change failure rate of our company's IT systems, identifying, and driving efficiency and reliability improvement initiatives through the estate. The ideal candidate will have proven experience in independently building and developing solutions for continuous deployment, measuring and improving DevOps metrics, and in working with infrastructure and development teams as well as 3rd parties. You will need to work both on your own, with others, and at times under pressure to meet deadlines. Key Responsibilities: - Work with the Business Engineering team to enhance and support the CI/CD build and deploy pipelines on our multiple target platforms, implement and automate change management controls for in-house developed systems and platforms. - Support Site Reliability Engineering to improve and unify application and deployment observability and establish practices for Disaster Recovery Testing. Support the migration from on-prem deployments to the Cloud platform in AWS, working closely with the platform and support functions to ensure a seamless transition and an effective and efficient process. - Proactively identify faults and SDLC process bottlenecks before they become visible problems. Please make sure to implement solutions to improve reliability and scalability. - Actively work with business stakeholders, and technology teams to establish standards for measuring and improving our change frequency, time to recover, and change fail rate. - Where applicable, work with the Business Engineering and other teams to help automate manual and repeatable tasks. Implement automation tools and frameworks for automatic code deployment and system management. - Develop and maintain documentation related to system configuration and operational processes. Skills and Technology Experience Required: 5+ years' experience in software engineering involving DevOps/SRE (preferably in a regulated sector) 3+ years of Python development experience Understanding of Continuous Delivery Understanding and experience with measuring and improving common DORA metrics Experience with Cloud technologies (e.g. AWS, Azure, GCP) Infrastructure as Code (Terraform, Ansible, Kubernetes) Experience with application and platform observability (OpenTelemetry, Grafana, etc.) Good reasoning skills Team player with excellent communication skills Desirable: Cloud security experience Network and monitoring experience Experience with database management Proven ability to query 3rd party APIs for integration and data analysis