Our portfolio companies are always looking for great people. Apply to the opportunities below or send us your profile.

Python Software Engineer - Accounting & Finance Analytics at Revolut
London, GB
From clunky apps to hidden fees, banking is broken. So we decided to build a company from the ground that would challenge the bigger players and reinvent how people interact with their money — for the better.
Traditional banks are slow and expensive. Realistically, you’re nothing but a number to them with dollar signs attached. So, one continent at a time, we plan on changing this.
To put it bluntly — it’s about getting shit done and owning what you do. We don’t hide behind fancy job titles or set up bureaucratic processes. Instead we treat our people equally, fairly and give them a ton of freedom and autonomy to create something awesome.
We make mistakes, we learn from them and we back everything up with data and logic.
In three years, we’ve grown to over 700 people and we’re adding around 30 new additions each month. From engineers to marketers, we’re on the hunt for exceptional talent to help us scale our business and get Revolut in the hands of millions of people everywhere.
We’re looking for Python Engineers for our Finance Analytics and Accounting team. As part of the Finance Analytics and Accounting team, you will build the next-level internal analytics platforms at Revolut to drive the company’s financial efficiency. From unlocking insights on how to generate more revenue and optimise costs to making investment allocation decisions, you will be responsible in building the tools to support these critical business decisions. You will also lead the automation of accounting processes and systems to make accounting and financial reporting in Revolut as efficient as possible.
Developing and implementing production-level Python scripts/tools for real-time analytics as part of our Finance infrastructure
Enforcing consistent quality by incorporating tests and performing code reviews with data scientists and data engineers
Analysing large financial data sets, and communicating insights to different cross-functional team
Exploring and experimenting with new tools, libraries and technologies to improve our solutions
Working with data science, product, operations, marketing teams and other business stakeholders to implement and deploy models and analytical solutions by providing data-driven recommendations
Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering)
Fluency in SQL, Python, Unix/bash scripting.
Ability to write easily understandable and maintainable code in multiple programming languages
- SQL {Redshift, Vertica, Exasol, PostgreSQL, MySQL, BigQuery}
- NoSQL {DataStore, CouchDB, Redis}
- Understanding their strengths and weaknesses
Big data: 
- Experience using, configuring, and tweaking one of Kafka, Spark, Flink, etc
- Docker, K8s, Ansible/Puppet, Teamcity/Jenkins, monitoring and alerting
- GIT, Jira, or similar
- Interest in data analysis/data visualisation (D3 is a plus)
- Experience in financial markets/banking (quant developer)
- Knowledge of financial market products is a plus
- Side projects or open source contributions
- Cloud: GCP
- Java, Javascript, GO, etc.

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