Software Developer, Python

at  Engelhart

ABOUT ENGELHART

Engelhart was founded in 2013 by BTG Pactual Group. As an international commodity trading company, we have brought together exceptional individuals with diverse global backgrounds and decades of experience. We understand markets, and together we improve them by providing liquidity and price discovery and promoting better allocation of capital. All of which helps support sustainable economic development. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions.

This is an exciting opportunity for a Software Developer / Data Engineer, with around of 2 years of experience, to build up their knowledge in commodities and risk management and become an integral member of the Engelhart’s IT team.
This role provides a hybrid working environment with flexibility, and will be based in our London office on Berkeley Square House for office days.
The person will develop and maintain Market Risk and Finance systems built using the latest technology stack. Working in collaboration with a small dynamic team, there will be opportunities to influence the technology landscape of the company and deliver business changing initiatives.
The successful candidate will operate with a large degree of autonomy, taking ownership of projects, from understanding requirements, to production deployment and support.
The end goal is to support business needs and help form best decisions in the newly formed group between Engelhart Commodities Trading Partners & Trailstone. This is currently achieved with Agile methodology and a lot of teamwork in a delivery-oriented group that fosters both technical and business discussions, always seeking continuous improvement in results.

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

• Develop understanding of business needs and work closely with Risk and Finance teams as well as the Front Office to develop and maintain market risk models.
• Support to the Risk, Finance and Front Office teams in the usage of common internal Python libraries, cloud resources and access to existing data.
• Development of new visualizations for our in-house dashboards.
• Data cleansing, enrichment and transformation using most efficient
• Data integration through services or query interfaces for internal consumption.
• Maintenance of existing data pipelines and databases.
• Contribute to projects in support of business initiatives.