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- Tasks: Apply machine learning and quantitative modelling in trading to develop analytical tools.
- Company: Leading financial firm in London with a focus on innovation.
- Benefits: Ownership over projects, collaborative environment, and significant influence in the field.
- Why this job: Join a fast-paced team and make a real impact in trading analytics.
- Qualifications: Postgraduate degree in STEM and strong Python and machine learning skills.
- Other info: Exciting opportunities for professional growth and innovative research.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial firm in London is seeking a specialist to apply machine-learning and quantitative modeling techniques in trading. The role requires a postgraduate degree in a relevant STEM field and strong proficiency in Python alongside machine learning skills. You will partner with various teams to develop and deploy analytical tools, also contributing to innovative research initiatives. This position offers a significant opportunity for ownership and influence over modeling practices in a fast-paced, collaborative environment.
VP ML Researcher — Trading Analytics & Innovation employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP ML Researcher — Trading Analytics & Innovation
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and machine learning sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your Python skills and machine learning concepts. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Showcase your projects! If you've worked on any trading analytics or machine learning projects, make sure to highlight them in your conversations. We love seeing practical applications of your 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’re always looking for innovative thinkers who can contribute to our collaborative environment.
We think you need these skills to ace VP ML Researcher — Trading Analytics & Innovation
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your machine learning and Python expertise in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects or experiences!
Tailor Your CV: Customise your CV to reflect the specific requirements of the VP ML Researcher position. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit into our vision.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for trading analytics and innovation, and explain how your background can contribute to our collaborative environment.
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 our fast-paced team!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Stuff
Make sure you brush up on your machine learning and quantitative modelling techniques. Be ready to discuss specific algorithms you've used in trading analytics and how they’ve impacted your previous projects. This shows you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your past projects involving Python. Have examples ready that highlight your ability to develop and deploy analytical tools.
✨Collaborative Mindset
This role involves partnering with various teams, so be prepared to talk about your experience working in collaborative environments. Share examples of how you’ve successfully worked with cross-functional teams to drive innovative research initiatives and how you handle differing opinions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the firm’s current challenges in trading analytics or their vision for future innovations. This not only shows your interest in the role but also your proactive approach to understanding the company’s needs.
