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- Tasks: Use your Python skills to analyse data and support financial services.
- Company: Join a high-end consultancy known for its innovative approach.
- Benefits: Enjoy a hybrid work model, competitive pay, and flexible hours.
- Why this job: Make an impact in finance while developing your coding expertise.
- Qualifications: Strong Python skills and a background in maths or finance are essential.
- Other info: This is a 12-month project with great opportunities for growth.
The predicted salary is between 30000 - 42000 £ per year.
A high-end consultancy in the UK seeks a Junior Quantitative Developer to perform Python-based analytics and support financial services. The role involves implementing code based on established logic and working within proprietary frameworks.
Ideal candidates have strong Python skills and a background in quantitative disciplines like math or finance. Experience with financial models and relational data concepts is a plus.
This is a 12-month project that emphasizes flexibility with a hybrid work model.
Junior Quantitative Developer – Python for Equities (Hybrid) in London employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Developer – Python for Equities (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your Python skills! Create a small project or contribute to an open-source one. Having something tangible to discuss during interviews can really set us apart.
✨Tip Number 3
Prepare for technical interviews by brushing up on financial models and data concepts. We can even do mock interviews together to boost our confidence!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed, and we’re always on the lookout for talent like yours.
We think you need these skills to ace Junior Quantitative Developer – Python for Equities (Hybrid) in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used it in past projects or studies, especially if it's related to finance or analytics.
Quantitative Background Matters: If you've got a background in maths or finance, flaunt it! We’re looking for candidates who can bring that quantitative edge to the table, so don’t hold back on sharing relevant coursework or projects.
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how you connect your skills and experiences to what we do at StudySmarter, especially in the context of financial services.
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!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python, especially in the context of analytics. Review key libraries and frameworks that are commonly used in financial services, as you might be asked to demonstrate your coding skills or solve problems on the spot.
✨Understand Financial Concepts
Since this role involves supporting financial services, having a solid grasp of financial models and relational data concepts will set you apart. Brush up on your knowledge of how these models work and be ready to discuss them during the interview.
✨Familiarise Yourself with Proprietary Frameworks
While you may not know the specific frameworks used by the consultancy, understanding the general principles behind proprietary systems can help. Research common frameworks in the industry and be prepared to talk about how you would adapt to new systems.
✨Show Your Flexibility and Team Spirit
With a hybrid work model, it's important to demonstrate your adaptability and ability to work well in a team. Be ready to share examples of how you've successfully collaborated with others, whether in-person or remotely, and how you manage your time effectively in a flexible environment.
