At a Glance
- Tasks: Support profitability model delivery for Credit Cards through data validation and model development.
- Company: Join a leading team within the Allegis Group network.
- Benefits: Competitive daily rate and flexible contract opportunities.
- Other info: Dynamic role based in Birmingham with potential for career advancement.
- Why this job: Make an impact in financial modelling while working with innovative tools like Python and SAS.
- Qualifications: Experience in Python, SAS, and financial modelling, especially with retail products.
The predicted salary is between 30000 - 40000 £ per year.
The role in the team is required to support the delivery of a profitability model for Credit Cards. This will include data sourcing validation, model development and MI suite production.
Key skills required would include:
- Python
- SAS
- Big Query
- Data interrogation and analytical skills
- Financial/Modelling experience
- Experience of retail products, ideally Credit Cards
Financial Modelling Analyst employer: Teksystems
At TEKsystems, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Located in Birmingham, our team enjoys access to professional growth opportunities, competitive compensation, and the chance to work on impactful projects within the financial sector, particularly in credit card profitability modelling. Join us to be part of a supportive environment where your skills in Python, SAS, and data analysis will be valued and developed.
StudySmarter Expert Advice🤫
We think this is how you could land Financial Modelling Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the finance and modelling space, especially those who work with credit cards. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your financial modelling projects, especially those using Python and SAS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your data interrogation techniques. Be ready to discuss how you've used Big Query in past projects. We want to see you shine when it comes to demonstrating your analytical skills!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Financial Modelling Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SAS, and Big Query. We want to see how your skills align with the financial modelling and data interrogation tasks mentioned in the job description.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about financial modelling, especially in the context of credit cards. Share specific examples of your previous work that demonstrate your analytical skills and experience with retail products.
Showcase Relevant Projects:If you've worked on any projects related to profitability models or financial analysis, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It streamlines the process for us and ensures your application gets into the right hands quickly!
How to prepare for a job interview at Teksystems
✨Know Your Financial Modelling Inside Out
Make sure you brush up on your financial modelling skills, especially in relation to credit cards. Be prepared to discuss specific models you've worked on and how you approached data sourcing and validation.
✨Show Off Your Technical Skills
Since the role requires proficiency in Python, SAS, and Big Query, be ready to demonstrate your expertise. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Prepare for Data Interrogation Questions
Expect questions that test your analytical skills and how you handle data interrogation. Think of examples where you've successfully extracted insights from complex datasets and be ready to explain your thought process.
✨Understand the Retail Products Landscape
Familiarise yourself with retail products, particularly credit cards. Research current trends and challenges in the industry, as this knowledge will help you stand out and show your genuine interest in the role.
