At a Glance
- Tasks: Create financial models and use data science for strategic insights.
- Company: Last Mile Group, a supportive finance team in Glasgow.
- Benefits: Competitive salary, great benefits, and a hybrid work setup.
- Other info: Join a dynamic team with opportunities for growth.
- Why this job: Make an impact with your skills in finance and data science.
- Qualifications: Experience in financial analysis, machine learning, and advanced Excel.
The predicted salary is between 40000 - 50000 € per year.
Last Mile Group is seeking a Financial Modeller in Glasgow to join their Finance team. In this hybrid role, you will leverage financial modelling expertise and advanced data science techniques to provide insights and predictive analytics essential for strategic decision-making.
Responsibilities include:
- Developing and maintaining financial models
- Presenting results to stakeholders
Candidates should have experience in:
- Financial data analysis
- Machine learning techniques
- Advanced Excel skills
The position offers competitive benefits and a supportive work environment.
Hybrid Financial Modeller: Data Science & Forecasting employer: Last Mile Group
Last Mile Group is an excellent employer, offering a dynamic and supportive work culture in Glasgow that fosters innovation and collaboration. Employees benefit from competitive remuneration, comprehensive training programmes, and opportunities for professional growth, making it an ideal place for those looking to advance their careers in financial modelling and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Financial Modeller: Data Science & Forecasting
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data science fields on LinkedIn. A friendly chat can open doors and give you insights into the company culture at Last Mile Group.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your financial models and data analysis projects. This will help you stand out during interviews and demonstrate your expertise in predictive analytics.
✨Tip Number 3
Practice makes perfect! Brush up on your advanced Excel skills and machine learning techniques. You might even want to run through some mock interviews to get comfortable discussing your experience with stakeholders.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining the Last Mile Group team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Hybrid Financial Modeller: Data Science & Forecasting
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your financial modelling expertise and any experience with data science techniques. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in financial data analysis and machine learning makes you a perfect fit for our team.
Showcase Your Excel Skills:Since advanced Excel skills are a must-have, consider including specific examples of how you've used Excel in your previous roles. We love seeing practical applications of your skills!
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 Last Mile Group
✨Know Your Financial Modelling Inside Out
Make sure you brush up on your financial modelling skills before the interview. Be prepared to discuss specific models you've developed and how they impacted decision-making. Practising explaining complex concepts in simple terms will help you communicate effectively with stakeholders.
✨Show Off Your Data Science Skills
Since this role involves advanced data science techniques, be ready to talk about your experience with machine learning and data analysis. Bring examples of projects where you've used these skills to derive insights or improve forecasting accuracy. This will demonstrate your ability to leverage data for strategic decisions.
✨Excel Like a Pro
Advanced Excel skills are a must for this position, so make sure you're comfortable with functions, pivot tables, and data visualisation tools. You might even want to prepare a quick demo or example of a financial model you've built in Excel to showcase your expertise during the interview.
✨Engage with Stakeholders
Since presenting results to stakeholders is part of the job, practice how you would convey your findings clearly and confidently. Think about how to tailor your communication style to different audiences, ensuring that both technical and non-technical stakeholders can understand your insights.
