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- Tasks: Build innovative statistical models for equities and commodities using machine learning.
- Company: Join a forward-thinking investor with a focus on quantitative strategies.
- Benefits: Competitive salary, career progression, training, and relocation assistance.
- Other info: Enjoy time for personal projects and continuous learning opportunities.
- Why this job: Make a real-world impact while becoming a machine learning authority.
- Qualifications: Degree in Mathematics, Computer Science, or Physics; strong Python or C++ skills.
The predicted salary is between 60000 - 80000 £ per year.
Machine Learning Developer - Quant Strategies – an exciting position with an innovative investor looking for an ML developer to focus on quantitative strategies and research.
Responsibilities
- Building brand‑new statistical models across a number of different applications/sectors including equities and commodities.
- Liaising with partners from across the business to deliver robust solutions to their requirements and outperform the competition.
- Providing a forward‑thinking work environment while making a real‑world difference.
- Becoming the machine learning authority and regularly attending events and delivering presentations.
Qualifications
- A degree in Mathematics, Computer Science or Physics.
- Strong knowledge of Python or C++.
- Hands‑on development experience within a highly scientific field or quant strategy.
Benefits
- A highly competitive package.
- Excellent career progression and training.
- Relocation assistance to make a move as easy as possible.
- Time dedicated to personal projects and ideas, ensuring something new is always on the horizon.
How to Apply
Make a confidential application now and a member of our team will be in touch.
Machine Learning Developer - Quant Strategies in London) employer: Newton Colmore Consulting
Contact Detail:
Newton Colmore Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Developer - Quant Strategies in London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects or any relevant work. This is your chance to demonstrate your expertise in Python or C++ and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML interview questions and coding challenges to ensure you’re ready to impress.
✨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 passionate individuals who want to make a real-world difference in the field of machine learning.
We think you need these skills to ace Machine Learning Developer - Quant Strategies in London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Developer role. Highlight your experience with Python or C++, and any relevant projects that showcase your skills in quantitative strategies.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background in Mathematics, Computer Science, or Physics makes you a perfect fit for this role.
Showcase Your Projects: Don’t forget to mention any personal projects or research you've done in the field. This shows us your initiative and enthusiasm for machine learning, which is super important for this position.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from our team!
How to prepare for a job interview at Newton Colmore Consulting
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning algorithms and quantitative strategies. Be ready to discuss specific models you've worked on, especially in Python or C++. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would approach building a statistical model for equities or commodities. Practising these scenarios can help you articulate your thought process clearly and demonstrate your analytical skills.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask them about their current projects and challenges they face. This shows your interest in the role and helps you understand how you can contribute to their goals.
✨Prepare for Presentations
Since the role involves delivering presentations, practice explaining complex concepts in a simple way. You might be asked to present a past project or a hypothetical solution, so being clear and confident will set you apart from other candidates.