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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 or conferences, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to quantitative strategies. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges in Python or C++, and be ready to discuss your past projects and how they relate to the role.
✨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 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. We want to see how you can bring value to our team!
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. Let us know what excites you about working with us!
Showcase Your Projects: If you've worked on any interesting projects, especially those related to statistical models or quant strategies, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Newton Colmore Consulting
✨Know Your Algorithms
Brush up on your machine learning algorithms and statistical models. Be ready to discuss how you've applied them in past projects, especially in quantitative strategies. This shows you not only understand the theory but can also implement it effectively.
✨Showcase Your Coding Skills
Since strong knowledge of Python or C++ is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning and quant strategies beforehand.
✨Understand the Business Context
Research the company and its competitors. Understand their focus areas in equities and commodities. Being able to discuss how your work can help them outperform the competition will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning concepts and their applications. Prepare to explain complex ideas simply, as you may need to liaise with non-technical partners in the business.