7 days ago

Data Analyst, Finance

Revolut

Hybrid
Full Time
£85,000
Hybrid

Job Overview

Job TitleData Analyst, Finance
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary£85,000
LocationHybrid

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Job Description

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 65+ 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 10,000+ 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, Finance 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 You’ll Be Doing

  • 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

What You'll Need

  • 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

Nice to have

  • An advanced degree in a STEM subject
  • To have participated in 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.

Key skills/competency

  • ETL Processes
  • Data Querying
  • SQL
  • Python
  • Financial Analysis
  • Risk Reporting
  • Liquidity Analysis
  • Cash Flow Analysis
  • Statistical Modeling
  • Performance Optimization

Tags:

Data Analyst
ETL
Data Querying
P&L Attribution
Risk Reporting
Investment Performance
Liquidity Analysis
Cash Flow Analysis
Performance Optimization
Problem-solving
Insights
Python
SQL
Databases
Statistical Modeling
Financial Analysis Tools
Reporting Tools
Data Manipulation
Advanced Analytics
Fintech

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How to Get Hired at Revolut

  • Research Revolut's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight experience in financial data analysis, Python, and SQL, aligning with the Data Analyst, Finance role requirements.
  • Showcase problem-solving skills: Prepare examples demonstrating your ability to dig into complex data and design solutions with code.
  • Master technical fundamentals: Brush up on SQL, Python for data manipulation, and core financial concepts like P&L attribution and risk reporting relevant to Revolut.
  • Prepare for behavioral questions: Understand Revolut's emphasis on innovation and problem-solving; practice articulating your impact on previous projects.

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