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- Tasks: Analyse credit and lending data to support risk assessment and decision-making.
- Company: Join a leading financial services firm focused on digital lending.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact with data-driven decisions in a dynamic environment.
- Qualifications: Experience in data analysis and strong SQL skills required.
- Other info: Opportunity to work with cutting-edge tools and engage with stakeholders.
The predicted salary is between 30000 - 50000 £ 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 employer: Trades Workforce Solutions
Contact Detail:
Trades Workforce Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Credit & Lending
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working with credit and lending. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL and BI tools. This will not only demonstrate your expertise but also make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on credit risk knowledge and relevant regulations. Being able to discuss these topics confidently will show that you're not just a data whiz, but also understand the industry.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are eager to join us. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Data Analyst – Credit & Lending
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 credit and lending focus of the role, so don’t be shy about showcasing relevant projects!
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 in financial services. Let us know how your skills can support our risk assessment and performance monitoring efforts.
Showcase Your Technical Skills: If you've got experience with BI tools or Python, make sure to mention it! We love seeing candidates who can bring additional technical skills to the table, especially when it comes to improving data quality and reporting.
Engage with Us: Don’t hesitate to reach out if you have questions about the application process or the role itself. We’re here to help! And remember, applying through our website is the best way to get your application in front of us.
How to prepare for a job interview at Trades Workforce Solutions
✨Know Your Data Inside Out
Make sure you’re familiar with the types of credit and lending data you’ll be working with. Brush up on your SQL skills and be ready to discuss how you’ve used data analysis in previous roles. Being able to talk confidently about your experience will show that you’re the right fit for the job.
✨Showcase Your Reporting Skills
Prepare to discuss any BI or reporting tools you’ve used in the past. Bring examples of reports or dashboards you’ve created, and be ready to explain how they supported decision-making. This will demonstrate your ability to translate data into actionable insights.
✨Engage with Stakeholders
Think about times when you’ve worked with different teams or stakeholders. Be prepared to share how you communicated complex data findings to non-technical audiences. This shows that you can bridge the gap between data analysis and business needs, which is crucial for this role.
✨Stay Updated on Industry Trends
Familiarise yourself with current trends in credit risk and digital lending. Being knowledgeable about the industry will not only impress your interviewers but also help you understand the context of your work. It’s a great way to show your passion for the field!
