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- Tasks: Forecast credit portfolios and analyse trends while collaborating with dynamic teams.
- Company: Leading digital consumer finance provider in Greater London.
- Benefits: Flexible hybrid working, 26 days holiday, private medical insurance, and generous bonuses.
- Why this job: Join a forward-thinking company and make an impact on credit insights.
- Qualifications: Proficient in Python, SQL, Excel, PowerPoint, and Power BI.
- Other info: Exciting opportunity for growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading digital consumer finance provider in Greater London is seeking a Specialist, Credit Insights to forecast portfolios and analyse credit trends. The role involves collaborating with teams to enhance data insights and includes responsibilities like reporting on portfolio movements.
Applicants should be proficient in Python and SQL, with strong skills in Excel, PowerPoint, and Power BI.
The position offers flexible hybrid working, 26 days holiday, private medical insurance, and generous bonuses.
Credit Insights Specialist — Forecasting & Analysis in London employer: NewDay Ltd
Contact Detail:
NewDay Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Insights Specialist — Forecasting & Analysis in London
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data analysis sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to credit analysis and forecasting. We recommend practising with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace Credit Insights Specialist — Forecasting & Analysis in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python, SQL, and Excel right from the get-go. We want to see how your skills can help us forecast portfolios and analyse credit trends!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your experience aligns with the role. Mention specific projects or achievements that relate to reporting on portfolio movements.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so make your points succinctly while still showcasing your enthusiasm for the role and our company.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at NewDay Ltd
✨Know Your Numbers
As a Credit Insights Specialist, you'll be dealing with data all the time. Brush up on your knowledge of credit trends and portfolio movements. Be ready to discuss how you've used Python and SQL in past roles to analyse data and generate insights.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams. Prepare examples of how you've successfully collaborated in the past. Think about specific projects where your teamwork led to enhanced data insights or improved reporting.
✨Excel and Power BI Proficiency
Make sure you're comfortable discussing your experience with Excel and Power BI. Bring examples of reports or dashboards you've created that demonstrate your analytical skills. If you can, prepare to walk through a sample analysis during the interview.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to credit analysis and how they leverage data insights. This shows your genuine interest in the role and helps you assess if it's the right fit for you.