Quantitative Developer, Commodities

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 Our team runs systematic trading strategies in short-term power markets around the world. In many countries, trading algorithms are central to how intermittent renewable power generation gets integrated into the grid - the liquidity and price signals we provide are part of what makes the renewables transition work. This role offers a unique blend of technical challenge and societal impact, providing you with end-to-end exposure to the full algorithmic trading value chain. This spans systems development for automated trading, machine-learning operations, dev-ops, backtest technology, data engineering and dashboarding. Within this broad purview, your primary focus will be platform development and technical operations.  This position is based in our Berlin office, and will be tasked with the following responsibilities:  * Build and operate python-based trading stack for continuous / day-ahead power: signal generation, backtesting, execution logic etc.  * Contribute to developing optimised data solutions that allow for low latency (seconds) data retrieval.  * Productionise and monitor live trading algos.  * Apply software development best practices to design scalable, robust and testable systems.  * Work closely with quant researchers, traders and risk teams to turn ideas into deployed strategies. * Support the expansion of the business into new areas. * Engage in exciting technical challenges, including performance optimisation, cloud-native application development and the creation of versatile reporting and visualisation frameworks.    ABOUT YOU You’re an engineer who wants their code running in production against live markets, not sitting in notebooks. You care about correctness and reliability because the cost of a bug is real. Domain experience in power or energy markets is a plus, not a requirement. We value diversity of thought and encourage applications from individuals with varied backgrounds and experiences.  As a result, we believe the following background and acquired knowledge will best set this individual up or success:  * A minimum of 2 years of experience as a Python developer. * Strong software engineering fundamentals: OOP and functional patterns, modular loosely coupled design, a solid grasp of data structures and algorithms. * Proficiency with software engineering best practices for version control, code review, testing, documentation and CI/CD. * Excellent communication skills, strong team orientation and a drive for operational excellence. * Experience testing and productionising quantitative models (e.g., models relating to prediction, optimization, uncertainty quantification or performance attribution)  In addition to the above, the following skills are not necessary for application, though highly advantageous for this role:  * Experience in a software engineering and/or data science role, within financial service companies or energy trading companies. * Experience with Python’s scientific libraries, e.g., numpy, pandas, scikit-learn, polars. * Experience with time-series databases, Airflow and deploying containerised applications as cloud services. * Experience with at least one statically typed programming language.  * SQL proficiency.   WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan. * 28 days of annual holiday entitlement plus Berlin public holidays. * €3,000 per year contribution to a private pension scheme on your behalf. * €20 monthly subsidy towards BVG tickets. * €25 monthly subsidy towards ClassPass membership. * A subsidy for German language courses to help you immerse yourself in the local culture. * A sociable working environment with an open, international culture. 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

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 are looking for a senior C++ developer with proven experience supporting HFT. Your future role within QRT * You’ll play a pivotal role in enhancing the QRT market access systems, to meet the demands of low latency and high frequency trading * You’ll work closely with the traders, researchers to understand the requirements and provide timely feedbacks and solutions * You’ll work closely with Linux admin and network engineers, for optimal system set up and deployment * You’ll work with exchanges and external vendors, to fully grasp the end-to-end flow and explore any potential improvements in time to market * You’ll be part of the QRT Market Access team, enhancing and maintaining existing systems, that cover all main global markets and various asset classes including Equities, Derivatives, FX, Fixed Income, Commodities and Options Your present skillset * Expert skills in C++ and Linux platform. * Proven experience in low latency optimization and tuning techniques. * Proven experience in market access systems at a financial institution. * Existing experience in Asia markets desirable * Good knowledge of financial products desirable. * Strong communication and interpersonal skills desirable   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. #LI-DNI

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  This is an exciting opportunity for a Python Software Engineer with approximately five years of experience to deepen their current expertise in commodities trading, while becoming a key member of our Risk, Finance & Compliance technology function within the Engelhart Technology team.  Operating with a high degree of autonomy and offering direct exposure to stakeholders & business users, this role will give someone the opportunity to take end-to-end ownership of initiatives, from requirements gathering and solution design through to production deployment and ongoing support.   Working in close collaboration with a small, dynamic team, this role provides a unique opportunity to influence Engelhart's technology landscape and deliver initiatives with tangible business impact. This team is delivery-focused, fostering strong collaboration, open technical and business discussions, as well as a culture of continuous improvement. The ultimate objective is to enable informed decision-making across our business through reliable, scalable and well-designed technology solutions.  This Software Engineer with have the following responsibilities;  * Designing, developing, maintaining and enhancing in-house systems, as well as integrations with third-party platforms.  * Working closely with Engelhart's Risk & Finance teams to gain a strong understanding of business requirements, translating them into well-defined technical solutions.  * Providing technical support to Risk, Finance and Front Office users - particularly in the use of shared internal Python libraries, cloud infrastructure and access to enterprise data.  * Contributing to the ongoing evolution of Engelhart's technology platform, including architectural design, identification of improvement opportunities and proposal of scalable solutions.  * Designing and implementing new data visualisations for internal dashboards and reporting tools.  * Performing data cleansing, enrichments and transformation using efficient and scalable tools and techniques.  * Developing and maintaining data integration services and query interfaces for internal consumption.  * Participating in, and contributing to, technology projects that support key business initiatives.    ABOUT YOU  This individual will be a strong Python developer with current experience in a commodities trading environment. In addition to commodities experience, which is an essential criteria to be considered for this role, we believe the following technical skills & experiences will best set someone up for success at Engelhart; Technical Skills: * Strong proficiency in Python, including common analytical and visualisation libraries (e.g. Pandas, NumPy, Plotly).  * Experience building APIs using Python frameworks, preferably FastAPI.  * Familiarity with AWS services such as Lambda, Step Functions, Cognito, ECS/Fargate, DynamoDB, CloudWatch and CDK.  * Familiarity with containerisation and orchestration technologies (Docker, Kubernetes).  * Understanding of parallel and distributed data processing concepts.  Soft Skills: * Strong analytical thinking, logical reasoning and problem-solving abilities.  * A collaborative team player with strong interpersonal skills and experience working with distributed or remote teams.  * Willingness to share knowledge, mentor others and continuously learn from peers.  * Self-motivated and proactive, with the ability to work independently and manage priorities with minimal supervision.  Additional Experiences that are not necessary, but highly desirable: * Experience designing or building event-driven architectures.  * Experience with applying AI tools, large language models and agent-based workflows to improve business processes, developer productivity or data analysis.  * Familiarity with Model Context Protocol servers and related approaches for connecting AI agents securely to internal systems, APIs, databases and business tools.    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.