At a Glance
- Tasks: Analyse data to support credit risk strategies and maintain data quality.
- Company: Join Funding Circle, a fintech leader supporting UK small businesses.
- Benefits: Flexible benefits, private health care, learning allowance, and lifestyle perks.
- Other info: Dynamic team environment with opportunities for career growth and innovation.
- Why this job: Make a real impact on small businesses while developing your data skills.
- Qualifications: Degree in a numerical field and strong data skills; SQL proficiency required.
The predicted salary is between 30000 - 40000 £ per year.
We’re on a mission to back the UK’s small businesses like no one else
Backing small businesses is the backbone of the economy. At Funding Circle we build a platform that uses data to help businesses secure funding in minutes, not weeks.
At Funding Circle we combine the energy of a fintech startup with the stability of a public company.
This gives Circlers autonomy to take ownership and scale to make an impact that truly counts.
The role
This position sits within the Second Line Credit Strategy team.
The focus is to provide independent oversight of credit risk models, strategies, and underlying data assets.
You will own a critical part of our data infrastructure and support the team’s analytical work.
- Primary steward of the modelled datasets the Credit Risk team relies on daily: maintaining field logic, monitoring data quality, and ensuring the data and dictionary remain accurate and fit for purpose.
- Creating new tables and pipelines as analytical needs evolve, working to a high standard of code quality and documentation.
- Proactively identify anomalies, breaks, and drift in the datamart, investigate root causes before they affect downstream users.
- Be the go‑to person for data questions from analysts and model validators; maintain clear documentation so others can self‑serve confidently.
- Work closely with the central Data team to align on tooling, infrastructure, and best practice and promote those to the Credit Risk team.
- What we’re looking for
- A degree from a numerical or data‑related subject, such as Mathematics, Computer Science, Engineering, Physics, or Data Science.
- 1–2 years of work experience, or a recent graduate with demonstrably strong data skills.
- Proficient in SQL, familiar with Git Hub, and confident using Tableau to build and maintain dashboards.
- Comfortable working independently on ambiguous, open‑ended data problems with a methodical and detail‑oriented approach.
- Clear communicator, able to document logic and flag data issues in plain language for both technical and non‑technical colleagues.
- Familiarity with Python, dbt, Airflow, or AWS is a plus, as is MS Office in a professional setting.
- Able to take ownership of redesigning departmental workflows, using AI to automate complex tasks and drive operational efficiency.
- Competently able to identify high‑impact AI use cases and implement advanced prompting techniques to solve multi‑layered business challenges.
Benefits
- Flexibility: benefit allowance that can be tailored to your own life and family.
- Health: private medical and dental, health assessments, and access to a digital GP.
- Wealth: life assurance, share schemes, and financial coaching.
- Development: dedicated annual learning allowance to help you level up.
- Lifestyle: electric car and cycle‑to‑work schemes, and season ticket loans.
We also have award‑winning parental leave policies and support through significant life moments, from fertility treatments to welcoming new additions to the family.
Ready to join a mission that matters? We’d love to chat.
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Data Analyst in London employer: Funding Circle UK
Funding Circle UK is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation within the Capital Markets team in London. Employees benefit from flexible working options, comprehensive health coverage, and a dedicated learning allowance, ensuring both personal and professional growth in a supportive environment. This role not only provides the opportunity to engage in meaningful capital markets transactions but also allows for the development of strong relationships across various teams, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Funding Circle UK!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Funding Circle UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Funding Circle UK.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Funding Circle UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Funding Circle UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Funding Circle UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Funding Circle UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
