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- Tasks: Conduct quantitative research and develop trading strategies in macro commodities.
- Company: Engelhart, a dynamic commodities trading company with a collaborative culture.
- Benefits: Gain practical experience, potential for permanent role, and work with industry experts.
- Why this job: Dive into the exciting world of commodities trading and make a real impact.
- Qualifications: MSc in a quantitative discipline and proficiency in Python required.
- Other info: Inclusive environment promoting diversity and excellent career growth opportunities.
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 work closely with portfolio managers, researchers, and traders to perform quantitative analysis, model development, and signal research. You will contribute to the design and testing of systematic and discretionary trading strategies, applying mathematical and statistical methods to real-world market data. This internship offers an opportunity to gain deep exposure to macro commodity markets and develop practical experience in trading, quantitative research, and risk analysis.
This will be a full-time role, owning the following
responsibilities
:
- Conduct quantitative research to identify, test, and validate trading signals and strategies across macro commodity markets, using both fundamental and market data sources.
- Apply statistical and econometric techniques to analyse large datasets.
- Develop and backtest forecasting models and alpha signals using Python and numerical computing libraries.
- Collaborate with traders and quants to translate research findings into actionable insights that inform trading decisions.
- Perform data-driven analysis of market behaviour, volatility, and correlations across commodities.
- Contribute to model performance monitoring, enhancement of research tools, and automation of analysis workflows.
- Supporting a wide range of ad hoc quantitative and technical projects aligned with trading desk priorities.
About You
You are a curious, analytical, and rigorous thinker with a genuine interest in commodities and data-driven problem solving. You approach research with both creativity and discipline, and you are comfortable working with ambiguity in fast-paced trading environments. You are highly collaborative, thrive on intellectual challenge, and communicate complex ideas clearly.
You should demonstrate a strong quantitative foundation, a high level of numerical intuition, and the ability to write clean, reproducible code to test hypotheses and implement models effectively.
The following
qualifications
and
skills
are
essential
for application:
- MSc (or equivalent) in Mathematics, Physics, Statistics, or another highly quantitative discipline, with an excellent academic record.
- Strong analytical and mathematical skills, including familiarity with probability, statistics, time-series analysis, or optimisation.
- Proficiency in Python and experience with relevant packages (NumPy, pandas, SciPy, statsmodels, etc.).
- Ability to handle and analyze large datasets, integrating both market and macroeconomic data sources.
- Demonstrated interest in financial markets, commodities, or quantitative trading.
- Strong communication and collaboration skills, with a proactive approach to problem solving and feedback.
- Strong analytical and problem-solving skills with a rigorous attention to detail.
- 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.
Quantitative Research Intern employer: Engelhart
Contact Detail:
Engelhart Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Intern
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, especially those in the Macro Commodities trading team. A friendly chat can give you insider info and might just put your name on the hiring manager's radar.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills. Be ready to discuss your experience with Python and how you've applied statistical techniques in real-world scenarios. Show us your analytical prowess!
✨Tip Number 3
Don’t just wait for the job to come to you! Apply through our website and make sure to follow up with a quick email expressing your enthusiasm. It shows initiative and keeps you top of mind.
✨Tip Number 4
During the interview, be bold and share your ideas! Discuss any unique trading strategies or models you've worked on. We love creativity and want to see how you think outside the box.
We think you need these skills to ace Quantitative Research Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Research Intern role. Highlight relevant skills, experiences, and projects that showcase your analytical abilities and familiarity with Python. We want to see how you fit into our collaborative culture!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your genuine interest in commodities and quantitative research. Share specific examples of your problem-solving skills and how they align with our values of being bold and proactive.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially your proficiency in Python and any relevant libraries. We love seeing clean, reproducible code, so if you have any projects or GitHub links, include them to demonstrate your coding prowess!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Engelhart
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills, especially in areas like probability, statistics, and time-series analysis. Be ready to discuss how you've applied these concepts in real-world scenarios or projects, as this will show your understanding and passion for the field.
✨Show Off Your Python Skills
Since proficiency in Python is a must, prepare to talk about your experience with relevant packages like NumPy and pandas. You might even be asked to solve a coding problem during the interview, so practice writing clean, reproducible code that demonstrates your ability to handle large datasets.
✨Understand the Commodities Market
Familiarise yourself with current trends and news in the commodities market. Being able to discuss recent developments or how macroeconomic factors influence trading can set you apart. It shows you're not just academically qualified but also genuinely interested in the industry.
✨Be Collaborative and Communicative
Engelhart values collaboration, so be prepared to share examples of how you've worked effectively in teams. Highlight your communication skills by explaining complex ideas clearly, as this will demonstrate your ability to work well with traders and quants in a fast-paced environment.