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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on a Data Science team in finance working on data analysis, ETL processes, automating P&L analytics, and risk reporting. Proficiency in Python, SQL and strong knowledge of mathematics and statistics are required. Responsibilities include creating and maintaining aggregated views, liquidity analysis, and model performance optimization. Offered benefits include medical insurance, life insurance, flexible remote work, and financial perks.
from: 30 July 2026
to: 29 August 2026
13 200 - 18 700 złgross/ mth.contract of employment (full-time)
Offer parameters
level:mid
working mode:remote
location:Kraków, Lesser Poland
Kraków, Lesser Poland
Requirements
Expected technologies
Python
SQL
Operating system
macOS
Our requirements
- Experience in an analytical role supporting a markets-based business, or at a major financial institution, asset manager, or liquidity provider within a treasury or risk role (FTP, ALM, IRRB, etc.)
- A bachelor's degree in a quantitative discipline
- Impeccable data manipulation and analysis skills with Python and SQL
- Evidence of solid mathematical and statistics knowledge
- Fluency in English
Optional
- An advanced degree in a STEM subject
- To have participated in university Olympic medal competitions in physics, maths, economics, or programming
Your responsibilities
- Working on ETL processes
- Creating and maintaining new aggregated views and tables to simplify data querying
- Automating analytics, including P&L attribution, daily risk reporting, and short-term investments performance
- Performing behavioural liquidity and cash flow analysis
- Analysing ad-hoc performance enhancements
- Undertaking model-based performance optimisation
About the project
Our Data Science team solves complex problems with smart, practical solutions. Data Analysts and Scientists work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.
We’re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.
Up to shape what's next in finance? Let's get in touch.
What we offer
- 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
Development opportunities we offer
- assistance in preparation to public speeches
- mentoring
- substantive support from technological leaders
- support of IT events
- technical knowledge exchange within the company
Benefits
- private medical care
- life insurance
- remote work opportunities
- flexible working time
- corporate products and services at discounted prices
- integration events
- holiday funds
- redeployment package
- birthday celebration
- employee referral program
- extra leave
- Work from abroad
Revolut Ltd
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.
As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
This is how we work
Data Analyst (Finance)
13.2k–18.7k zł / mth. (CoE)
I apply to:
Revolut Ltd
Kraków, Lesser Poland
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