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- Tasks: Support a team focused on derivatives analytics and solve complex quantitative problems.
- Company: Leading financial services provider in Greater London with a focus on innovation.
- Benefits: Flexible downtime, continuous learning opportunities, and a collaborative environment.
- Why this job: Join a dynamic team that values your growth while driving the business forward.
- Qualifications: 3 years in finance, strong Python skills, and analytical problem-solving abilities.
- Other info: Great opportunity for personal and professional development in a thriving industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services provider in Greater London is looking for a quantitative analyst to support a team focused on derivatives analytics.
Ideal candidates have a quantitative background with 3 years in finance, proficiency in Python, and analytical problem-solving skills.
This role offers flexible downtime and continuous learning opportunities within a dynamic, collaborative environment.
Join a team that values innovation and promotes individual growth while driving the business forward.
Quantitative Derivatives Product Engineer in London employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Derivatives Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative analysis space. Use platforms like LinkedIn to connect with people who work at companies you're interested in, and don't be shy about asking for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any analytical work you've done. This is a great way to demonstrate your problem-solving abilities and quantitative background to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to tackle case studies or problem-solving scenarios. Practising common interview questions can also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team.
We think you need these skills to ace Quantitative Derivatives Product Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative background and relevant experience in finance. We want to see how your skills align with the role of a Quantitative Derivatives Product Engineer, so don’t hold back on showcasing your Python proficiency!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about derivatives analytics and how your analytical problem-solving skills can contribute to our team. Let us know what excites you about working with us at StudySmarter.
Showcase Continuous Learning: Since we value continuous learning, mention any courses, certifications, or projects that demonstrate your commitment to professional growth. This will show us that you’re not just looking for a job, but a place to develop your skills further.
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 gives you a chance to explore more about our dynamic environment and culture!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific financial models or analytics you've worked on. Prepare to explain your thought process and the impact of your work on previous projects.
✨Python Proficiency is Key
Since proficiency in Python is a must, make sure you can demonstrate your coding skills. Consider preparing a small project or example that showcases your ability to solve analytical problems using Python.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some analytical problems during the interview. Practice common quantitative problems and think aloud as you solve them to show your approach and reasoning.
✨Emphasise Continuous Learning
This role values innovation and growth, so highlight any recent courses, certifications, or self-study you've undertaken. Discuss how you stay updated with industry trends and how you plan to continue learning in this dynamic environment.
