Praca w miastach:Praca IT Warszawa•Praca IT Kraków•Praca IT Wrocław•Praca IT Szczecin•Praca IT Poznań•Praca IT Lublin•Praca IT Katowice•Praca IT Bydgoszcz•Praca IT Łódź•Praca IT Białystok•Praca IT Toruń•Praca IT Gdańsk
Stanowiska:Grafik komputerowy praca•Tester gier praca•Programista praca•Tester oprogramowania praca•Frontend Developer praca•Data scientist praca•Tester manualny praca•Tester praca•Analytics praca•Tester aplikacji praca•Programista java praca•Web developer praca
Technologie i narzędzia:Python praca•Cyberbezpieczeństwo praca•Java praca•Bazy danych praca•Cisco praca•C++ praca•Javascript praca•SQL praca•Business Intelligence praca•Delphi praca•Wordpress praca•Testowanie aplikacji praca•C# praca•PHP praca
Specjalizacje:Backend praca•Devops praca•Frontend praca•Full-stack praca•GameDev praca•Mobile praca•Embedded praca•Architecture praca•QA/Testing praca•Security praca•AI/ML praca•Big data science praca•Helpdesk praca•IT admin praca•Agile praca•Product Management praca•Project Management praca•UX/UI praca•Business analytics praca•SAP & ERP praca•System analytics praca•PO/PM praca•Scrum master praca•Analityka praca•Data analytics & BI praca
Offer summary
(Summary generated by AI based on the full job description)
The project focuses on financial risk management using risk models, Python, SQL. Responsibilities include developing margin, liquidation and liquidity analysis models, automating analytic workflows, and collaborating on deploying solutions. Required skills include quantitative modeling, GARCH, ARIMA, derivatives knowledge and experience in machine learning and financial engineering. Benefits cover medical insurance, remote work, life insurance.
from: 30 July 2026
to: 29 August 2026
23 200 - 27 300 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
- A degree in mathematics, statistics, financial engineering, machine learning, or computer science
- 3+ years of experience in machine learning, financial engineering, or similar roles within liquidity or market derivatives
- Knowledge of margin trading mechanics, derivatives pricing models, and liquidation/liquidity risk management
- Expertise in building and validating risk and margin models (VaR, Expected Shortfall, SPAN, CCP-style IM/VM, stress tests, scenario simulations)
- Proficiency in quantitative modelling and time-series methods (GARCH, ARIMA, stochastic calculus), with advanced Python and SQL skills for large-scale data analysis
- Familiarity with high-frequency datasets, and the ability to work well in fast-paced risk environments
Optional
- Experience at a major financial institution, asset manager, or liquidity provider, or within a treasury or risk department (FTP, ALM, liquidity, IRRB, etc.)
- Exposure to market-making workflows and risks (inventory management, P&L drivers, spread optimisation, and internalisation strategies)
- Familiarity with regulatory and institutional risk frameworks (Basel III/IV, FRTB, SA-CCR, CCP margin methodologies)
Your responsibilities
- Developing and maintaining methodologies and policies for liquidity and market derivative modelling
- Delivering real impact to the product through rigorous data-driven solutions
- Building, enhancing, and maintaining the core risk engine, including margin models, leverage frameworks, and liquidation logic
- Developing and calibrating risk models across isolated/cross margin, partial/full liquidation, bankruptcy pricing, and future portfolio margining capabilities
- Collaborating with Engineering to deploy risk methodologies into production systems while iteratively improving models based on market conditions
- Automating advanced analytic workflows, including P&L attribution, daily risk reporting, short-term investment performance, and cash flow analysis
- Preparing documentation for compliance, and presenting risk insights, exposures, and recommendations to senior leadership
About the project
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts 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 Scientist who'll effectively assess and manage risk by developing policies, methodologies, models, and systems for risk quantification, reporting, and monitoring.
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 Scientist (Risk)
23.2k–27.3k zł / mth. (CoE)
I apply to:
Revolut Ltd
Kraków, Lesser Poland
Pracodawca zbiera zgłoszenia przez swój system.
Przejdziesz na zewnętrzny formularz.
By clicking "Aplikuj" you confirm that you've read and accepted our Terms and Conditions.
This is how the employer processes your data
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. \n\n For information on how we will handle your personal data when you apply for a job with us, please see our Data Privacy Notice for Candidates. [https://www.revolut.com/legal/data-privacy-for-candidates/]
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.