Data Analyst (Front Office)

technologies-expected :
Python
SQL

about-project :
We approach Data Science at Revolut the same way that we approach everything else. We take complex problems and create extraordinary solutions that our customers love. Our Data Analysts aren’t kept in the background, doomed to never see the impact of their work. They’re some of our best and brightest problem solvers, deployed to the front-lines to work in Product teams and deliver WOW solutions ⭐️
We’re looking for an experienced Quantitative Analyst (Front Office) to join our Short-Term Liquidity team, which is part of our Treasury & Investments area. You'll directly support, improve, and automate critical processes used to manage investment decisions, the firm’s liquidity, and risk. You will also enhance the sophistication of PnL and risk optimisation analytics.

responsibilities :
Creating and owning ETL processes
Creating and maintaining new aggregated views and tables to simplify data querying
Automating analytics, including PnL attribution, daily risk reporting, and short-term investments performance
Undertaking behavioral liquidity and cash flow analysis
Analysing ad-hoc performance enhancements
Undertaking model-based performance optimisation

requirements-expected :
Experience in an analytical role supporting a markets-based business
Experience at a major financial institution, asset manager, or liquidity provider, or within a Treasury or Risk department (FTP, ALM, Liquidity, IRRB, etc.)
A bachelor's degree in a quantitative discipline
Impeccable data manipulation and analysis abilities in Python and SQL
Evidence of solid mathematical and statistics knowledge
Fluency in English

offered :
Financial benefits that show we value your work
Medical insurance for you and your close ones
Flexibility to work from home, the office or abroad
A free Revolut Metal subscription loaded with perks
Exciting events year-round so you can get to know your team