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- Tasks: Create financial models and automate processes using Python in a dynamic energy tech environment.
- Company: A forward-thinking energy tech company based in Manchester.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Join a team making impactful decisions in the exciting field of quant finance.
- Qualifications: 2-4 years of financial modelling experience and strong Python skills.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic energy tech company is seeking a proactive financial modeller in Manchester. This hands-on role requires 2-4 years of financial modelling experience and strong Python skills for automation. You will collaborate with various finance departments, contributing to important strategic decisions, and benefit from a competitive package and hybrid working. Ideal for those looking to make an impactful entry into quant finance.
Quant Finance Analyst — Hybrid Manchester, Modelling employer: SearchWorks
Contact Detail:
SearchWorks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Finance Analyst — Hybrid Manchester, Modelling
✨Tip Number 1
Network like a pro! Reach out to professionals in the quant finance space on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your financial modelling projects and Python automation work. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in energy tech. We recommend practising common quant finance interview questions to boost your confidence.
✨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 Quant Finance Analyst — Hybrid Manchester, Modelling
Some tips for your application 🫡
Show Off Your Financial Modelling Skills: Make sure to highlight your financial modelling experience in your application. We want to see how you've used your skills in real-world scenarios, so don’t hold back on the details!
Python Proficiency is Key: Since strong Python skills are a must for this role, be sure to mention any relevant projects or experiences where you've automated processes using Python. We love seeing practical examples!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We appreciate when candidates take the time to align their experiences with what we’re looking for in a Quant Finance Analyst.
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 this exciting opportunity in Manchester!
How to prepare for a job interview at SearchWorks
✨Master Your Financial Modelling Skills
Make sure you brush up on your financial modelling techniques before the interview. Be ready to discuss specific models you've built and how they contributed to strategic decisions. Practising a few examples can help you articulate your experience clearly.
✨Show Off Your Python Proficiency
Since strong Python skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used Python for automation in your previous projects. Have some code snippets ready to showcase your expertise.
✨Understand the Company’s Vision
Research the energy tech company thoroughly. Understand their mission, recent projects, and how they fit into the broader market. This knowledge will not only impress your interviewers but also help you tailor your answers to align with their goals.
✨Prepare for Collaborative Scenarios
As this role involves collaboration with various finance departments, think of examples where you've successfully worked in a team. Be ready to discuss how you handle differing opinions and contribute to group decisions, showcasing your proactive approach.
