Data Analyst at Zopa
London, GB
At Zopa, we’re shaping the future of finance.
We offer simple loans and smart investments that help people take control of their finances and do more with their money. In the 12 years we’ve been in business, we’ve helped more than 60,000 people lend over £3 billion to 246,000 UK consumers.
And our journey’s only just beginning. In November 2016 we announced our plans to build a next generation bank so that we can bring a greater range of smart, ethical finance products to even more people.
The role:
Data analysts at Zopa work on a broad range of topics such as credit/fraud risk, marketing, business performance, platform operations. The daily job of a data analyst includes: extracting actionable insights from data with statistical analysis, identifying problems and opportunities in the business, proposing new ideas and experiments, developing and deploying automated reporting dashboard and monitoring system.
Data analysts at Zopa work primarily as part of cross-functional teams known as Tribes, which are autonomous groups with ownership of one of our products, such as personal loans, P2P investments, credit cards, etc. Data analysts interact daily with business analysts, data scientists, product managers and software engineers in their own Tribes.
Data analysts also have close interactions with like-minded people through the functional group known as the Data Excellence Chapter, where we share knowledge and experience on technologies and research. We care a lot about your career development and keen to help you reach your goal, be it in data science, data engineering or product management.
About you:
You love data. You are passionate about solving real world problems with data. You have solid knowledge and hands-on skills in data processing, data visualization, and statistical analysis.
You are always curious and eager to learn more, never content with half-understanding. You are fearless in exploring new ideas, for the good of our customers and the world.
You are a great communicator. You do not shy away from engaging people of different background and you can communicate effectively and convincingly.
You are a team player, striving for the success of the team with strong commitment to get the job done.

Required skills/knowledge:

    • Good skill in SQL
    • Good programming skill in Python
    • Knowledge and hands-on experience of the PyData stack (e.g. Pandas, Numpy, Scipy, MatPlotLib, Seaborn)
    • Knowledge of statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap)

Bonus points for:

    • A STEM degree, preferably M.Sc/PhD
    • Experience in commercial analytics or scientific researches
    • Experience with BI tools (e.g. Tableau)
    • Experience with AWS services (S3, RedShift, Athena, Glue, SageMaker, etc)
    • Domain knowledge in credit risk, data-driven marketing, operational optimization
    • Good understanding of best practice in software engineering
    • Proficiency in Linux/Unix
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.