Data Architect Intern - Commodity Trading

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: be bold, be collaborative, be proactive, be your best.

About The Role

We are seeking a highly motivated and intellectually curious individual to join our Macro Commodities trading team for a six-month internship. Whilst this is a fixed-term opportunity, there is potential for the role to transition into a permanent position based on individual and Desk performance. Candidates should be available to commence their internship as soon as possible (before the end of 2025) in order to apply.

Our Macro Commodities trading team spans a diverse range of assets, including Oil, Metals, and Freight, and leverages various trading instruments such as Futures and Options.

In this role, you will play a key part in maintaining and evolving our data infrastructure, generating actionable trading signals, and developing robust software tools to support trading, research, and modelling. You will work closely with portfolio managers, researchers, and quantitative researchers, providing technical solutions and insights through advanced data analysis and programming.

This will be a full-time role, owning the following responsibilities:

• Collaborating with traders, analysts, and quants to maintain and enhance large time series datasets (e.g., market, economic, and alternative data).
• Develop and maintain pipelines to collect, clean, and store structured and unstructured time series data.
• Optimize storage formats and indexing for efficient querying, retrieval, and time-based analysis.
• Conducting alpha research using both fundamental and market data sources.
• Contributing to the development and enhancement of systematic trading infrastructure.
• Supporting a wide range of ad hoc quantitative and technical projects aligned with trading desk priorities.

About You

You are a proactive and highly adaptable individual with a strong enthusiasm for learning and tackling new challenges. You thrive when faced with unfamiliar tasks and have a natural ability to integrate smoothly into teams. Your communication skills stand out - you are proactive in engaging with team members, actively seeking feedback, and ensuring that information is clearly shared.

You should demonstrate strong initiative in your research and technical tasks and have a commitment to strong coding practices, particularly in areas like quality checks and the structuring of solutions, in order to elevate the robustness and efficiency of your work.

The following qualifications and skills are essential for application:

• MSc (or equivalent) in Computer Science, Engineering, or another highly quantitative discipline, with an excellent academic record.
• A high level of proficiency in at least one programming language, with Python strongly preferred.
• Proficiency with numerical and statistical libraries (e.g., Pandas, NumPy, etc.) for data analysis and modelling.
• Experience with SQL and working with relational databases.
• Strong understanding of time series data structures, databases, and processing techniques.
• Familiarity with time series databases (e.g., kdb+, InfluxDB, TimescaleDB) is a plus.
• Demonstrated expertise in at least one of the following: Statistical Modelling, Machine Learning, Software Development, Trade Execution, or System Design.
• Strong analytical and problem-solving skills with a rigorous attention to detail.
• Excellent communication skills (both verbal and written), with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Highly organised and solution-oriented, with the ability to manage multiple priorities and deliver results under time pressure.

The following experiences are desirable but not essential:

• Prior experience in a corporate, financial services, or professional environment.
• Familiarity with or exposure to commodities trading or financial markets.

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.