At a Glance
- Tasks: Develop and implement credit risk strategies while analysing data and tracking performance metrics.
- Company: Leading global financial services firm with a focus on innovation.
- Benefits: Competitive salary, bonus incentives, and flexible working model.
- Why this job: Make a real impact on customer outcomes through data-driven strategies.
- Qualifications: Experience in risk management, data analysis, and strong SQL or Python skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading global financial services firm is seeking a Risk Analyst to develop and implement credit risk strategies in the UK. You will analyze data, track performance metrics, and collaborate with various business teams to enhance customer outcomes.
Ideal candidates have experience in risk management and data analysis, as well as strong SQL or Python skills.
The position offers competitive salaries, bonus incentives, and a flexible working model.
Credit Risk Analytics Analyst — Strategy & Growth employer: American Express
Contact Detail:
American Express Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analytics Analyst — Strategy & Growth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL or Python, consider creating a small project or analysis to showcase your abilities. It’s a great way to stand out!
✨Tip Number 3
Prepare for interviews by brushing up on common risk management scenarios. We all know practice makes perfect, so do some mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Credit Risk Analytics Analyst — Strategy & Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in risk management and data analysis. We want to see how your skills in SQL or Python can contribute to our credit risk strategies!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about credit risk analytics. Share specific examples of how you've enhanced customer outcomes in previous roles – we love a good story!
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Mention any relevant projects or experiences where you’ve successfully tracked performance metrics or developed strategies.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at American Express
✨Know Your Numbers
As a Credit Risk Analytics Analyst, you'll be dealing with data all the time. Brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data and improve risk strategies.
✨Understand the Business
Familiarise yourself with the financial services firm’s current credit risk strategies and performance metrics. This will help you demonstrate your understanding of how your role fits into their overall goals and how you can contribute to enhancing customer outcomes.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to credit risk. Think about past experiences where you had to make data-driven decisions and be prepared to explain your thought process clearly.
✨Show Your Collaborative Spirit
Collaboration is key in this role. Be ready to share examples of how you've worked with different teams in the past. Highlight your communication skills and how you’ve successfully partnered with others to achieve common goals.