Associate Algo Developer

About Us

Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Its business model is “asset light” and highly diversified – giving it the ability to adapt effectively and nimbly to changing market conditions. It has assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Its activities are underpinned by strong risk management practices and by powerful technology and operational excellence. Its exceptional teams have 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 Engelhart with new expertise, analytics and proprietary technology which is used to provide risk management and optimisation services to manage the intermittency of renewable power generation for its client base. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America.

Its talented and experienced individuals work together according to its four company values: be bold, be collaborative, be proactive, be your best.

Associate Algo Developer

About the Role

As an Associate Algo Developer, you will receive excellent early career development as a member of our quantitative research sub-team specializing in systematic power trading. Here you will help optimize and deploy systematic trading strategies in European spot power markets.

The role will give you end-to-end exposure to and mentorship around the full algorithmic trading value chain, including power market fundamentals, signal evaluation, predictive modelling, trade optimization, and systems development for automated trading.

In addition to generating trading revenues, many of our trading algorithms help reduce the balancing costs of the wind and solar parks that we manage, thereby contributing to the overall financial viability of the renewable energy sector while lowering the cost of electricity ultimately passed down to consumers. The role therefore offers a unique opportunity to have a social and environmental impact as part of a quantitative finance career path.

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

• Grow revenue by translating domain expertise from other technical and commercial teams, and your own research, into algorithmic trading signals or strategy refinements.
• Drive high operational uptime of trading systems through hands-on monitoring, testing, and quality assurance.
• Implement and enhance models relating to prediction, optimization, uncertainty quantification, and performance attribution.
• Uphold a scientific research process and good software engineering practices.
• Contribute to software automating research and trading workflows.
  
  

About You

The following experiences and skills are essential for application:

• Strong Python proficiency for data science applications and general programming.
• Mastery of early undergraduate statistics, common predictive modeling techniques, and research procedures.
• Distinction in a degree in a quantitative field (e.g. Statistics, Mathematics, Economics, Finance, Physics, Computer Science, Electrical Engineering, Industrial Engineering) or equivalent work experience.
• Clear communication, excellent interpersonal skills, and a strong team orientation.
• Highly motivated, detail-oriented, and driven to deliver high-quality work under deadlines.
  
  

In addition, the following qualifications are not required, but highly preferrable for this role:

• Experience with software engineering best practices, e.g. version control, code review, unit and integration testing, venv management, and CI/CD.
• SQL proficiency.
• Academic or industry experience analyzing financial or energy markets.
• Demonstrable interest in developing a career in energy trading, renewables, or quantitative finance.
  
  

Location

This opportunity can be based in either our Berlin or Grenoble office, as a singular full-time location. We are not able to support a fully remote-working set up.

Please note: our European Power Trading desks are based in the Berlin office, as a result it is our preference for this role to be based in Berlin. Should your preference be to work in our Grenoble office, there will be a requirement for quarterly travel to the Berlin office.

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.