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- Tasks: Analyse credit risk data and support regulatory compliance using SQL and analytical tools.
- Company: Join a leading Tier-1 Financial service client in London.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Why this job: Make an impact in credit risk analytics and regulatory reporting.
- Qualifications: Strong background in credit risk analytics and effective communication skills.
- Other info: Exciting opportunity for growth in a fast-paced financial sector.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency is working with a Tier-1 Financial service client seeking a Data Analyst for their London team. The ideal candidate will support credit risk reporting, regulatory compliance, and risk analytics according to Basel II / III standards.
Responsibilities include:
- Analyzing credit risk data
- Regulatory reporting
- Maintaining risk dashboards using SQL and other analytical tools
Strong background in credit risk analytics and effective communication skills are essential for success in this role.
Credit Risk Data Analyst: Basel II/III & Reporting employer: Paritas Recruitment
Contact Detail:
Paritas Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Data Analyst: Basel II/III & Reporting
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Brush up on your SQL skills! Since this role involves maintaining risk dashboards, being able to showcase your SQL prowess during interviews will definitely set you apart from the competition.
✨Tip Number 3
Prepare for those tricky interview questions! Think about how you would explain complex credit risk concepts in simple terms. Being able to communicate effectively is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace your application and land that dream job in credit risk analytics. Let’s get you started on this exciting journey!
We think you need these skills to ace Credit Risk Data Analyst: Basel II/III & Reporting
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with credit risk analytics and any relevant tools like SQL. We want to see how your skills align with the Basel II/III standards mentioned in the job description.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about credit risk reporting and how your background makes you a great fit for our team. Be specific about your achievements and how they relate to the role.
Showcase Your Analytical Skills: In your application, don’t forget to mention any projects or experiences where you've successfully analysed data or created dashboards. We love seeing real examples of your analytical prowess!
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’s super easy!
How to prepare for a job interview at Paritas Recruitment
✨Know Your Basel II/III Inside Out
Make sure you brush up on the key principles of Basel II and III. Understand how they impact credit risk reporting and compliance. Being able to discuss these frameworks confidently will show your potential employer that you're not just familiar with the concepts, but that you can apply them in real-world scenarios.
✨Show Off Your SQL Skills
Since this role involves maintaining risk dashboards using SQL, be prepared to demonstrate your proficiency. Practice writing queries and be ready to discuss how you've used SQL in past projects. If possible, bring examples of your work or be ready to solve a problem on the spot.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. During the interview, practice explaining complex data findings in simple terms. This will not only showcase your analytical skills but also your ability to convey important information to stakeholders who may not have a technical background.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to credit risk analytics. Think about past experiences where you had to analyse data under pressure or make decisions based on regulatory requirements. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
