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- Tasks: Analyse credit and lending data to support risk assessment and decision-making.
- Company: Join a forward-thinking financial services company focused on digital lending.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Opportunity to work with cutting-edge tools and enhance your analytical skills.
- Why this job: Make a real impact through data-driven decisions in a dynamic environment.
- Qualifications: Experience in data analysis, strong SQL skills, and stakeholder engagement.
The predicted salary is between 30000 - 40000 £ per year.
This role focuses on analysing credit and lending data to support risk assessment, performance monitoring, and decision-making across digital lending platforms.
Key Responsibilities
- Analyse credit and lending datasets
- Build reports and dashboards
- Support risk and product teams
- Identify trends and insights
- Improve data quality
Required Experience
- Data analysis experience
- Strong SQL skills
- Financial services or lending exposure
- BI or reporting tool experience
- Stakeholder engagement skills
Nice to Have
- Credit risk knowledge
- Python for analysis
- Regulatory reporting exposure
Why Join
- Data-driven decision making
- High business relevance
- Clear analytical impact
Data Analyst – Credit & Lending in London employer: EC1 Partners
Contact Detail:
EC1 Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Credit & Lending in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those working with credit and lending. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL and BI tools. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of credit risk and regulatory reporting. Being able to discuss these topics confidently can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Analyst – Credit & Lending in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analysis experience and SQL skills. We want to see how your background fits with the role, so don’t be shy about showcasing your financial services or lending exposure!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven decision making and how you can contribute to our team. Let us know about any relevant projects or experiences that demonstrate your analytical impact.
Showcase Your Skills: If you’ve got experience with BI tools or Python, make sure to mention it! We love seeing candidates who can bring additional skills to the table, especially when it comes to improving data quality and identifying trends.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at EC1 Partners
✨Know Your Data Inside Out
Before the interview, dive deep into credit and lending datasets. Familiarise yourself with common trends and insights that can be drawn from them. This will not only show your analytical skills but also demonstrate your genuine interest in the role.
✨Showcase Your SQL Skills
Prepare to discuss your SQL experience in detail. Bring examples of complex queries you've written or challenges you've faced. Being able to articulate your thought process will impress the interviewers and highlight your technical expertise.
✨Engage with Stakeholders
Think about past experiences where you’ve worked with stakeholders. Be ready to share how you communicated data insights effectively and how you tailored your reports to meet their needs. This shows you understand the importance of collaboration in a data-driven environment.
✨Brush Up on Credit Risk Knowledge
Even if it's not a requirement, having a basic understanding of credit risk concepts can set you apart. Read up on key terms and current trends in the industry. This will help you engage in more meaningful conversations during the interview.