Efficient markets in global food supplies are necessary for cheap and plentiful food for all, but most participants in these markets across the world don’t use modern data technologies. Lansing Proprietary is a data-driven investment manager specialising in the agricultural commodities that underpin the global supply of food, such as wheat, soybeans, corn and sugar. We combine a deep and specific understanding of these markets with expertise in state-of-the-art quantitative and statistical techniques, including machine learning.

Reliable and timely data feed the models that inform our multi-million dollar investment decisions on a daily basis, and our software platform robustly automates an increasing part of the collection and analysis of this data, as well as running and managing a suite of quantitative trading strategies.

We are searching for a talented and pragmatic software developer to join us as the third full-time member of our growing team in central London, close to Shoreditch and the City. This is a rare opportunity to work in a startup-like environment that combines the autonomy and breadth of responsibility of a role in a small, agile development team with the market proximity and excitement of a role at a trading desk.


  • Experience of developing software in a collaborative environment, with a strong emphasis on quality and robustness
  • Experience of manipulating large datasets


  • A strong academic record, such as a master’s degree in software engineering, computer science or a related quantitative subject
  • Commercial experience of back-end development in Python, and of modern technologies like Postgres, Docker, git and cloud platforms as well as asynchronous programming techniques.
  • Comfort with DevOps
  • An interest in financial markets and statistics
  • A love of beautiful, well-tested code


  • Competitive salary and benefits, including pension contributions and the possibility of an annual discretionary bonus
  • Lansing Proprietary is a subsidiary of Lansing Trade Group
  • We are committed to building a diverse team

Tagged as: AWS, azure, docker, Git, postgres, Python