Senior Quantitative Developer

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 We have a new opportunity for a technically strong Quantitative Developer to join our growing Global Oil desk in the London office. This role sits at the intersection of data engineering, quantitative research and trading, with direct exposure to PnL-driven decision-making. We will provide direct and hands-on mentorship from senior quants and portfolio managers, offering the opportunity to gain insights into hedge fund data strategy and macro trading. The successful candidate will play a key role in building and optimising data infrastructure that supports investment decisions, while developing a strong commercial understanding of financial markets at desk. This will be a full-time role, owning the following responsibilities: * Assisting with the design and implementation of scalable architectures for large time-series datasets (market, economic and alternative data). * Developing and maintaining data pipelines to ingest, clean, and store structured and unstructured datasets. * Improving and optimising data querying, storage formats and indexing to enable efficient analysis. * Managing and enhancing database environments, ensuring high performance and reliability. * Working closely with portfolio managers and traders to ensure data is actionable and aligned with commercial needs. * Identifying opportunities to extract commercial value from data, not just collecting it. * Contributing to data standards, documentation and automation of workflows. * Supporting the development of tools and datasets that directly impact trading strategies and PnL.   About You This person will gain direct exposure to real-world trading and macro strategy, collaborating closely with experienced quants and traders. As a result, we believe the following background of experiences and skills will best set up this person for success: * A recent degree in Computer Science, Data Science, Engineering or a related quantitative discipline. * Experience working on market modelling, quantitative research or data-heavy projects (academic or professional). * An understanding of time-series data structures, databases and processing techniques. * Prior exposure to a bank, trading house, hedge fund or physical trading environment is advantageous. * Any trading experience or strong market interest is highly valued. In addition, the following technical skill set will be complimentary: * Experience with SQL and Python. * An understanding of libraries such as pandas, NumPy or similar. * Familiarity with time series databases (e.g., kdb+, InfluxDB, TimescaleDB) is a plus. * Knowledge of cloud-based data solutions (AWS, Azure, GCP) is preferred.   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.

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 QRT’s 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 are seeking a hands-on Support Engineer to join our Quantitative Developer Platform team. You will be the first line of response for infrastructure-related issues, triaging incidents, handling requests and ensuring smooth daily operations for a high-performance research and trading platform. This is a critical role that bridges traders, quant researchers and senior engineers, ensuring reliability and responsiveness across our technology stack.   This role collaborates with traders, quant researchers, and senior engineers - ensuring stability, reliability, and responsiveness across our technology stack. You will own the support workflow: investigating, categorizing, and resolving operational issues while escalating effectively when deeper expertise is required.   Your future role within QRT: * Serve as the first point of contact for infrastructure and platform-related issues. * Monitor alerts, logs and dashboards; respond promptly to incidents. * Perform initial investigation, triage and resolution where possible. * Escalate complex issues to the relevant senior engineers, providing clear context. * Handle user requests (onboarding, permissions, environment setup, resource allocation). * Maintain documentation, runbooks, and knowledge base for recurring issues. * Contribute to improving monitoring, automation, and support processes. * Participate in an on-call rotation. Your current skillset: * Strong troubleshooting mindset with structured problem-solving. * Solid experience with Linux systems, networking fundamentals and cloud environments (AWS preferred). * Familiarity with monitoring tools (e.g., CloudWatch, Prometheus, Datadog, ELK). * Knowledge of CI/CD pipelines, container platforms (Docker, Kubernetes) and scripting (Python, Bash, etc.). * Clear, calm communication with both technical and non-technical stakeholders. * Ability to perform under pressure in a fast-paced environment (financial services or hedge fund experience is a plus). * 3+ years in a Support Engineer, Cloud Engineer, Systems Administrator, or TechOps role.  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.