Quantitative Analyst

Job Description

We’re hiring a quantitative analyst to build a world-leading automated power trading team.

We’re building the software infrastructure for the decarbonised energy system, backed by some of the best investors in the world (TechCrunch).

We make the technology to move energy usage to times when electricity is cheap and green. Our software controls vehicle charging, heating systems, and home batteries. We use machine learning to figure out what energy people will need, and when they'll need it. We control tens of thousands of energy assets, and we’re growing quickly.

Read more about what we’re building here.

Requirements

You can expect:

• insane amounts of ownership
• hard technical challenges
• that what you build is commercially and environmentally valuable

In return, we ask for:

• the courage to build new things fast
• a commitment to real world impact over technical perfection
• a desire to help build and lead an exceptional and tight knit team
• deep-seated motivation to combat climate change

We need you to bring:

• deep knowledge of the electricity system, specifically power trading
• razor sharp commercial instincts
• creativity and boldness in exploring new trading strategies with a novel asset class

You shouldn't apply if:

• uncertainty scares you
• you aren't prepared to try, fail, and try again
• you're looking for a low intensity, low impact role

Interview process

1. Initial interview
2. Take-home exercise
3. Final interview (in-person)
4. Offer, references, and welcome to the team!

Tech stack

In this role you won't be writing production code, but you will need to be able to evaluate possible strategies rigorously. Since we're a small team, you'll often need to get your own data and quickly hack your way to an MVP.

🐍 We do everything in Python, because it allows data scientists and engineers to collaborate closely and move quickly. Our data scientists write lots of production code. We ❤️ Streamlit.

🎨 We try a bunch of things in Figma before we build them in code, because it's a fast and cheap way to get feedback.

🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.

☁️ We deploy on GCP

Benefits

We love the idea of fully remote work but it doesn't… work. For very early stage companies, people learn faster, get on better, and accomplish more when they're spending a decent chunk of time together. We ask that you spend 2-3 days a week in our London office.

We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional engineering stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.