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- Tasks: Build innovative statistical models and collaborate on cutting-edge quantitative strategies.
- Company: Join a forward-thinking investor with a dynamic and collaborative culture.
- Benefits: Competitive salary, relocation packages, career progression, and training opportunities.
- Other info: Engage in personal projects and attend events to enhance your expertise.
- Why this job: Make a real-world impact while working with industry leaders and exciting technologies.
- Qualifications: Degree in Mathematics, Computer Science, or Physics; strong Python or C++ skills.
The predicted salary is between 60000 - 80000 £ per year.
An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research.
This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector.
In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition.
This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations.
To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of Python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat.
In exchange for your skills and expertise, the company offers a highly competitive package as well as providing excellent career progression and training. The company also offers relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well as time dedicated to personal projects and ideas.
For more details make a confidential application now and a member of our team will be in touch.
Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets.
Machine Learning Developer - Quant Strategies in London employer: Newton Colmore
Contact Detail:
Newton Colmore 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 professionals in the machine learning and quantitative strategies space. Attend industry events, webinars, or meetups to connect with potential employers and showcase your passion for the field.
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your expertise in Python or C++. Share your work on platforms like GitHub to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to machine learning and quantitative research, 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’re here to support you throughout the process, so don’t hesitate to reach out if you need any help.
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 in quantitative strategies. We want to see how your skills align with what we're looking for!
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 you can contribute to our innovative team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects, especially in statistical modelling or quantitative research, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Newton Colmore
✨Know Your Algorithms
Brush up on your knowledge of algorithms and statistical models relevant to quantitative strategies. Be prepared to discuss how you've applied these in past projects, especially using Python or C++. This will show your technical prowess and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach building a statistical model for a specific application. This demonstrates your analytical thinking and ability to deliver robust solutions.
✨Engage with the Team's Vision
Research the company’s recent projects and innovations in machine learning. During the interview, express your enthusiasm for their work and how you can contribute to their goals. This shows that you're not just looking for any job, but are genuinely interested in their mission.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge in mathematics and programming. Practice coding challenges in Python or C++ and be ready to explain your thought process. This will help you stand out as a candidate who is both knowledgeable and articulate.