Senior Developer - Core Trading Technology

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We work closely with traders and risk managers to provide real time and end of day Pricing and Risk information for all trading activity within QRT. This position has high visibility across the business and exposure to all parts of the trading lifecycle. This position requires a commitment to effective problem solving, strong technical skills, good attention to detail and excellent communication skills. Your future role within QRT * Key member of the core technology team building and enhancing high throughput Linux based services * Integrating and maintaining pricing models for trading and risk calculation within the core technology platform * Potential to work with other services in the platform like order, trade, position managers, product reference and market data systems * Working closely with pricing quants, quantitative developers, traders and operations staff to design and develop cutting-edge systems to keep QRT at the forefront of its field * Working in primarily in C++ and python * Direct interaction with risk managers and trading desks Your present skillset * 4+ years of experience of a front or middle office role * Expert in low latency, high throughput Linux development using advanced C/C++, STL * Key experience in designing and implementing multithreaded and distributed systems * Experience working with pricing models is highly desirable * Good knowledge of Equities, Futures, Options, Swaps asset classes highly desirable * Good knowledge of execution lifecycles and instrument lifecycles (such as corporate actions, settlement, bond coupons, swap resets) is highly desirable * Advanced knowledge of distributed network architecture * Proficient with Linux / GCC development toolchain and Linux Red Hat OS is essential * Experience with QT/WX/MFC GUI Frameworks nice to have. * Team player with good communication skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Adaptive

WE ARE:  At Adaptive, we are a financial consulting firm that partners with capital, commodity, and digital market participants. We value differentiation through technology. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world’s leading investment banks, investment managers, fintechs and capital market service providers. With a global reach with offices in London, New York, Barcelona and Montreal, we have a proven track record delivering powerful, elegant and intuitive trading technology solutions. We are expanding our product capability and looking for talented individuals to help build transformational capital markets products including:  * Aeron - our flagship high-performance messaging infrastructure. * Hydra - our developer framework for accelerating the development and delivery of trading systems. * Artio - our market-leading open-source FIX engine. YOU ARE:  * A great team player who loves sharing knowledge and learning from others * A problem solver with strong analytical skills * Excited about learning new things and keeping up to date * Happy to work in a test-driven and Agile development fashion YOU HAVE:  * Experience in Java server-side software development. * Expertise in Java technologies, including related Java and other technologies. * Solid experience programming using Core Java. Minimum Java 17 * General knowledge of data injection/inversion of control. * Experience using messaging technologies. * General familiarity with data structures such as sets, hashes, caches etc. * Knowledge of concurrency, resiliency, caching, HTTP and REST. * A good understanding of software development methodologies and best practices, including experience with Agile methodologies * Working with DevOps to deploy applications. * Experience with software maintenance, bug fixing, and enhancements. * Experience with Agile development methodologies (Scrum, Kanban). * Excellent communication skills, both written and verbal, with the ability to communicate technical concepts to non-technical stakeholders. * Strong analytical and problem-solving skills. * Strong Exposure to standard financial interchange protocols i.e. FIX, ITCH YOU WILL:  * Design and develop Java applications and libraries * Write clean, efficient and well-documented code. * Troubleshoot and debug Java applications to ensure smooth performance. * Conduct unit testing to ensure code quality and application stability. * Participate in code reviews to ensure code quality, maintainability, and reusability. * Keep up-to-date with emerging trends and technologies in Java development. * Participate in Agile development methodology and adhere to software development best practices. * Pair with other team members to ensure high-quality outcomes NICE TO HAVE: * Exposure to low latency/high performance systems * Exposure to additional languages (C, C++, Go, Rust, C#) * Experience developing Front Office financial systems * Experience in delivering OMS/EMS/Exchange systems * Exposure to equities trading and brokerages * Experience with build tools and automation Gradle, GitHub Actions etc * Experience with cloud computing platforms, such as AWS or Azure, is a plus.   WHY US:  * To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive) You can learn from anyone here, which is  the beauty of it * To take part in the growth and development of a great company * Our teams feel free to speak up, make suggestions and raise concerns. * Collaborative team environment: we all work together, respect each other, and pitch in * Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits…). Balance between professional and personal life is massively important to us. * We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes.  WHAT PEOPLE THINK OF US 🗣️   YOU CAN CHECK OUR GLASSDOOR PAGE :)    BENEFITS   * 25 days holiday * Family medical and dental * Pension plan * Season ticket loan * Gym subsidy * Life insurance * Long-term disability insurance * Employee Assistance Plan   THE PROCESS Long interview processes are stressful and boring and that is not us  We want to make sure that everything runs smoothly. So here you will have three stage interviews: 1- A chat with one of our great recruiters.  2- A zoom chat with one of our Java colleagues where they will ask you detailed questions about Java  knowledge and your experience. 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper, and you will have a technical task to do. You will also have a chat with our local director.  A little tip for you during those stages:  Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc :)    DIVERSITY & INCLUSION:  Diversity and inclusion are key to a great workplace, and Adaptive is better when it’s more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity.  All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive

Engelhart

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities.  Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE As a Technology Manager in our Tech Data, AI & UX team, you will lead a high-impact engineering group responsible for building, scaling, and operationalising data and AI capabilities across Engelhart’s trading, quantitative, risk and operational functions. This is a hands-on leadership role at the intersection of data engineering, AI platform delivery, front-office technology, and commodities trading The role reports to the Global Head of Tech - AI, Data & UX and will play a central part in implementing Engelhart’s AI Business Plan. That plan positions AI as a federated capability enabled by a central Tech AI team with responsibilities across platform, governance and delivery, working closely with trading desks, Quant & Systematic teams, MOBO, Risk, Compliance, People, senior management, external AI providers, cloud providers, data providers, BTG Pactual, Gridfuse, Metdesk and other partners.  This role will work directly with Traders, Quants, FO Analysts, Risk, Compliance and Technology stakeholders. Experience with systematic trading, quantitative research workflows, or trading analytics platforms is highly desirable. The successful candidate will help translate front-office needs into robust technical capabilities, ensuring that AI and data solutions are useful, trusted, governed and adopted in real workflows. The broader mandate is to help Engelhart move from experimentation to production-grade AI capability: improving productivity, making company knowledge searchable, enabling AI-assisted workflows, and embedding AI into analytics through initiatives such as Risk Copilot, Treasury Copilot, Power Forecast Copilot, Trader Copilot, and Quant Copilot.   ABOUT YOUR TEAM You will manage a team consisting of four Senior Data Engineers and two AI & Agentic Platform Interns, guiding delivery across both the core data engineering estate and the emerging agentic AI platform. The Senior Data Engineers are focused on building and maintaining data pipelines, integrating and cleansing data, supporting analytical and operational use cases, and enabling predictive analytics, machine learning, data mining, and systematic trading initiatives. The AI & Agentic Platform Interns support the design and implementation of Engelhart’s central Agentic AI platform, including orchestration layers, agent runtimes, AWS Lambda integrations, MCP servers, agent skills, knowledge bases, vector databases, retrieval pipelines, and AI productivity tooling.   BREAKDOWN OF RESPONSIBILITIES This will be a full-time role based in our London office and owning the following responsibilities: * Lead and develop the AI & Data engineering team, directly managing four Senior Data Engineers and two AI & Agentic Platform Interns, setting clear priorities, coaching technical growth, reviewing delivery quality, and ensuring the team operates with high ownership, collaboration, and continuous improvement. * Drive implementation of the Agentic AI platform, supporting orchestration layers, agent runtimes, AWS-hosted services, Lambda-based tooling, MCP servers, knowledge bases, vector databases, retrieval pipelines, agent skills and secure deployment patterns within Engelhart’s internal network. * Support implementation of the AI Business Plan, helping deliver the central Tech AI team’s mandate across platform, governance and delivery, and contributing to the strategic themes of productivity, knowledge and data discovery, AI-assisted workflows, and AI-assisted analytics. * Support delivery of AI use cases such as Trader Copilot, Quant Copilot, Risk Copilot, Treasury Copilot, Power Forecast Copilot, reconciliation automation, AI Explorer, text-to-SQL, Confluence/wiki agents, contract/vendor agents and self-service AI workflows where relevant to the agreed roadmap. * Own delivery of scalable data engineering capabilities across Engelhart’s data landscape, including ingestion of structured and unstructured data, data cleansing, enrichment, transformation, storage, distribution, visualisation and operational reuse for Data Scientists, Traders, Quant developers and business stakeholders. * Partner with Quant and Systematic teams to enable data, AI and engineering capabilities that support research workflows, model-adjacent analytics, signal review, back testing support, code review, documentation and systematic trading productivity, while respecting ownership boundaries with Quant and trading teams. * Translate front-office requirements into practical technology solutions, working closely with Traders, Quants, FO Analysts, Risk and other business teams to identify high-value opportunities. * Champion production-grade engineering standards, including robust architecture, secure data access, maintainable code, CI/CD, infrastructure-as-code, observability, documentation, testing and clear operational ownership. * Ensure AI solutions are governed appropriately, contributing to standards around evaluation, provenance, human-in-the-loop design, auditability, monitoring, access control and safe deployment in collaboration with Compliance, Risk, AI Security and senior Technology stakeholders. * Measure and communicate value delivered, helping connect technical delivery to adoption, cost savings, front-office efficiency and business impact. The AI Business Plan identifies annualised value delivered and value-weighted adoption as key success measures.   ABOUT YOU This individual will be an experienced engineering manager from a commodities trading environment. Someone who is comfortable leading a team of senior engineers whilst remaining close enough to the architecture and code to challenge design decisions, unblock delivery and set a high technical bar. The successful individual will understand that AI adoption is not just about models or tools; it depends on data quality, platform reliability, governance, user trust and day-to-day workflow fit. We believe the following background, experiences and skills are essential for application: * Strong domain understanding of commodities trading is essential. * Academic background or equivalent professional experience in Computer Science, Engineering, Data Science, Information Systems, Quantitative Finance, Mathematics or a related technical field.  * Significant experience leading data engineering, AI engineering, platform engineering or technology delivery teams in a demanding business environment.  * Proven experience managing, coaching and developing engineers; including senior individual contributors and early-career technical talent.  * Strong hands-on understanding of modern data engineering practices, including data ingestion, transformation, cleansing, storage, distribution, data quality, documentation and operational support.  * Advanced proficiency in Python and the wider Python data ecosystem, including experience with Pandas or comparable libraries for data crawling, parsing, analysis and engineering workflows.  * Experience with analytical, time-series, or large-scale data platforms. ClickHouse is preferred and Redshift is also relevant, based on the current technical landscape. * Strong experience with cloud-native engineering, preferably AWS, including practical understanding of services such as S3, Lambda, Athena, EMR, Fargate, Kinesis, EC2, API Gateway, CloudWatch, and related architecture and security patterns.  * Hands-on experience with Docker, Git, CI/CD, infrastructure-as-code, and modern software delivery practices.  * Practical understanding of AI, LLM, or Generative AI application architecture, including RAG, knowledge bases, vector databases, prompt engineering, evaluation, orchestration, agent workflows, or AI-assisted developer tooling.  * Experience engaging directly with Traders, Quant developers, Data Scientists, analysts or front-office stakeholders to gather requirements, challenge assumptions and deliver useful technical solutions.  * Strong understanding of commodities trading, particularly Oil, Power, and Gas; including the role of market data, analytics, risk, weather, fundamentals, trading workflows and front-office decision support.  * Ability to translate complex technical concepts for both technical and non-technical audiences, influencing decisions and building trust with stakeholders across levels.  * Strong organisational skills and a strong sense of ownership, accountability, and follow-through. Preferably with a bias toward delivering production-grade solutions rather than prototypes that do not land.  In addition, the following experiences and skills are not required, but highly desirable for this role: * Commodities coverage: Oil, Power, and Gas. * Experience in systematic trading, quantitative research platforms, trading analytics, signal generation, back testing workflows, or model-adjacent engineering.  * Practical exposure to agentic AI frameworks and implementation patterns, such as LangChain, n8n, MCP servers, AWS Bedrock, Postgres with pgvector, Bedrock Knowledge Bases, Pinecone, Chroma, or comparable tools.  * Experience designing or operating secure internal AI platforms, including private model deployment, VPC-based architectures, data-access controls, auditability, monitoring, and vendor due diligence.  * Familiarity with AI governance, evaluation suites, provenance, human-in-the-loop workflows, risk classification, model monitoring, audit trails, and compliance considerations such as the EU AI Act.  * Experience with REST APIs, SSIS, Entity Framework, internal API design, Python packages, and integration patterns across enterprise systems.  * Experience with big data technologies such as Apache Spark, Databricks, Parquet, or Hive.  * Experience with data visualisation libraries or platforms, including Plotly or equivalent tooling.  * Experience working with GitHub Copilot-style engineering workflows, internal AI chat, summarization pipelines, or AI productivity tooling.  * Experience working in a federated technology model where a central platform team enables business-aligned teams to own and improve their own workflows.  * Experience engaging with external data vendors, cloud providers, consulting partners, or group-level technology partners.    WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan.  * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.   * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.