招聘
必备技能
Python
Java
SQL
Scala
About Revolut
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 70+ 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.
About the role
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 to dig into our complex databases and look for the root cause of a problem. You'll design solutions by writing your own code to implement them.
Up to shape what's next in finance? Let's get in touch.
What you'll be doing
- Understanding our business and its processes through data
- Applying this understanding and knowledge of data to help product and service teams
- Developing documentation and data governance
- Owning the entire ETL process
- Designing key metrics to measure different aspects of the business
- Creating and maintaining new aggregated views and tables to simplify data querying
- Providing clean data sets, modelling data in a way that empowers end users to answer their own questions
What you'll need
- 5+ years of experience in an analytical role, creating impactful data-driven solutions
- A solid background/education in a quantitative discipline
- Great skills with Python, SQL, or other programming languages
- Evidence of exceptional mathematical and statistics knowledge
Nice to have
- An advanced degree in a core STEM subject
- Experience with additional programming languages (Java, Scala, C++, etc.)
- School/university Olympic medal competitions in physics, maths, economics, or programming
Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
-
Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.
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Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.
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. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
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关于Revolut

Revolut
Series EFinancial technology company.
5,001-10,000
员工数
London
总部位置
$33B
企业估值
评价
4.1
10条评价
工作生活平衡
2.5
薪酬
4.0
企业文化
4.2
职业发展
4.0
管理层
3.5
75%
推荐给朋友
优点
Innovative and cutting-edge technology environment
Excellent compensation and benefits
Strong team collaboration and support
缺点
Fast-paced and high-pressure environment
Poor work-life balance and long hours
High workload and stress levels
薪资范围
114个数据点
Director
Director · Director, Commercial Analytics
1份报告
$282,250
年薪总额
基本工资
$245,000
股票
-
奖金
-
$282,250
$282,250
面试经验
1次面试
难度
2.0
/ 5
时长
14-28周
录用率
100%
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
HR Screen
3
Technical Interview
4
Final Interview
5
Offer
常见问题
Technical Knowledge
Quality Assurance Processes
Past Experience
Problem Solving
Behavioral/STAR
新闻动态
Revolut launches platform for businesses to hire overseas talent - Finextra Research
Finextra Research
News
·
6d ago
Anti-Wall Street Trading Apps Now Offer Rich Traders Big Bank Perks - Bloomberg
Bloomberg
News
·
1w ago
Working as a SWE at Revolut
Hi everyone, I’m currently interviewing for a mid–senior Software Engineer role at Revolut and wanted to get some honest perspectives. I’ve been reading reviews on Glassdoor and Reddit, and they seem pretty mixed. Some people mention a strong learning environment and high ownership, while others talk about long hours and a pretty intense culture. What I’m mainly trying to understand is the day-to-day reality: • Are we talking normal 7–8 hour workdays? • Or is it more like 10–12 hours regu
·
1w ago
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61
·
42
Working as a SWE for Revolut
Hi everyone, I’m currently interviewing for a mid–senior Software Engineer role at Revolut and wanted to get some honest perspectives. I’ve been reading reviews on Glassdoor and they seem pretty mixed. Some people mention a strong learning environment and high ownership, while others talk about long hours and a pretty intense culture. What I’m mainly trying to understand is the day-to-day reality: • Are we talking normal \~7–8 hour workdays? • Or is it more like 10–12 hours regularly? I’
·
1w ago
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