At a Glance
- Tasks: Build innovative statistical models for equities and commodities using machine learning.
- Company: Join a forward-thinking investment firm with a focus on cutting-edge technology.
- Benefits: Competitive salary, relocation packages, career progression, and training opportunities.
- Other info: Dynamic environment with opportunities for personal projects and continuous learning.
- Why this job: Work with industry leaders and make a real-world impact in finance.
- 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 offer a highly competitive package as well as providing excellent career progression and training. The company also offer 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 time dedicated to personal projects and ideas.
Machine Learning Developer - Quant Strategies employer: Newton Colmore
Join a forward-thinking investment firm that champions innovation and collaboration, where as a Machine Learning Developer, you will work alongside industry leaders on cutting-edge technologies. With a strong emphasis on career progression, training, and the opportunity to make a tangible impact, this role offers a dynamic work culture that encourages personal projects and continuous learning. Additionally, the company provides competitive compensation and relocation support, making it an ideal place for talented individuals looking to thrive in a stimulating environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Developer - Quant Strategies
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant meetups. We can’t stress enough how important it is to connect with people who are already in the field; they might just know about opportunities that aren’t advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to quantitative strategies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past projects. Being able to articulate your thought process is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team.
We think you need these skills to ace Machine Learning Developer - Quant Strategies
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Developer role. Highlight your experience with statistical models and any relevant projects you've worked on. We want to see how your skills align with our innovative approach!
Showcase Your Skills:Don’t just list your qualifications; showcase your skills in Python or C++. Include specific examples of how you've applied these in a scientific or quant environment. This will help us see your hands-on experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're excited about this role and how you can contribute to our team. We love seeing passion and enthusiasm for the work we do at StudySmarter.
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. Let’s make this happen!
How to prepare for a job interview at Newton Colmore
✨Know Your Tech Inside Out
Make sure you brush up on your Python or C++ skills before the interview. Be ready to discuss specific projects where you've applied these languages, especially in building statistical models. This will show that you not only understand the theory but can also implement it practically.
✨Showcase Your Quantitative Skills
Prepare to talk about your experience with quantitative strategies. Think of examples where you've used data analysis to solve complex problems. Being able to articulate your thought process and the impact of your work will impress the interviewers.
✨Engage with Real-World Applications
Since this role involves working across various sectors like equities and commodities, be ready to discuss how machine learning can be applied in these areas. Research current trends and challenges in the industry to demonstrate your enthusiasm and knowledge.
✨Be Ready for Collaboration
This position requires liaising with different partners, so highlight your teamwork skills. Prepare examples of how you've successfully collaborated on projects in the past, and be ready to discuss how you would approach working with others in this new role.
