At a Glance
- Tasks: Build innovative statistical models for equities and commodities using machine learning.
- Company: Join a cutting-edge investment firm with a focus on quantitative strategies.
- 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 63000 - 77000 £ per year.
Machine Learning Developer - Quant Strategies
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.
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.
Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python.
C++, Monte Carlo.
Machine Learning Developer - Quant Strategies in London employer: Newton Colmore Consulting Ltd Careers
Join a dynamic and innovative team in Cambridge, where your expertise as a Principal Mechanical Design Engineer will contribute to the development of groundbreaking Medical Devices. This company not only offers competitive salaries and comprehensive benefits, including healthcare and gym memberships, but also fosters a collaborative work culture that prioritises continuous professional growth and the opportunity to work alongside leading experts in the field. With a commitment to advancing health technology, you'll find meaningful and rewarding employment that makes a real difference in people's lives.
Contact Details:
Newton Colmore Consulting Ltd Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Developer - Quant Strategies in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Newton Colmore Consulting Ltd Careers!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Developer - Quant Strategies at Newton Colmore Consulting Ltd Careers.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Newton Colmore Consulting Ltd Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Developer - Quant Strategies at Newton Colmore Consulting Ltd Careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Developer - Quant Strategies in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Newton Colmore Consulting Ltd Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Newton Colmore Consulting Ltd Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Newton Colmore Consulting Ltd Careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Newton Colmore Consulting Ltd Careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
