At a Glance
- Tasks: Analyse data and support IFRS 9 production and regulatory stress testing.
- Company: Join the CFA Institute, a leader in financial education and analysis.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role in a supportive environment with career advancement potential.
- Why this job: Make an impact in financial forecasting while working with a diverse team.
- Qualifications: Bachelor's degree required; MBA and programming skills preferred.
The predicted salary is between 60000 - 80000 € per year.
CFA Institute is seeking a skilled analyst to join the Legal Entity Loss Forecasting team in Greater London. The role focuses on IFRS 9 production, regulatory stress testing, and data analysis.
Candidates should hold a Bachelor's degree in a relevant field, possess strong analytical and problem-solving skills, and be proficient in data tools like Tableau and Excel. Preferred candidates have an MBA, and experience in programming languages such as Python, SQL, or R.
Join a diverse and inclusive environment.
AVP, IFRS 9 & Wholesale Credit Risk Forecasting in London employer: CFA Institute
CFA Institute is an excellent employer that fosters a diverse and inclusive work culture, providing employees with ample opportunities for professional growth and development in the dynamic field of finance. Located in Greater London, the company offers competitive benefits and a collaborative environment where innovative ideas are encouraged, making it an ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AVP, IFRS 9 & Wholesale Credit Risk Forecasting in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and risk forecasting sectors on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for interviews by brushing up on IFRS 9 and regulatory stress testing concepts. We recommend creating a cheat sheet of key points to discuss, so you can impress the interviewers with your knowledge.
✨Tip Number 3
Show off your data skills! If you’ve worked with Tableau, Excel, or programming languages like Python or SQL, be ready to share specific examples of how you’ve used these tools to solve problems or improve processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AVP, IFRS 9 & Wholesale Credit Risk Forecasting in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience and skills that match the job description. We want to see how your background in data analysis and forecasting aligns with the role, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about IFRS 9 and how your analytical skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Since proficiency in tools like Tableau and Excel is key, make sure to mention any relevant projects or experiences where you’ve used these tools. If you’ve dabbled in Python, SQL, or R, let us know how you’ve applied those skills too!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at CFA Institute
✨Know Your IFRS 9 Inside Out
Make sure you brush up on your knowledge of IFRS 9 and its implications for credit risk forecasting. Be prepared to discuss how you’ve applied this in previous roles or projects, as it shows you’re not just familiar with the theory but can also implement it practically.
✨Show Off Your Data Skills
Since the role requires proficiency in data tools like Tableau and Excel, be ready to showcase your experience with these tools. Bring examples of dashboards or analyses you've created, and if possible, prepare to discuss how you would approach a specific data problem relevant to the team.
✨Programming Proficiency is Key
If you have experience with programming languages such as Python, SQL, or R, make sure to highlight this during the interview. Prepare to discuss any projects where you used these skills, as well as your approach to solving complex data challenges.
✨Emphasise Your Analytical Mindset
The role demands strong analytical and problem-solving skills, so come prepared with examples that demonstrate your ability to analyse data and draw actionable insights. Think of scenarios where you identified a problem, analysed the data, and proposed a solution that had a positive impact.
