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 role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry and 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 various applications/sectors including equities and commodities. You will liaise with partners from across the business with the 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.
Minimum Requirements: 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 strat.
In exchange for your skills and expertise, the company offers a highly competitive package as well as 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 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.
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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 role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry and 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 various applications/sectors including equities and commodities. You will liaise with partners from across the business with the 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.
Minimum Requirements: 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 strat.
In exchange for your skills and expertise, the company offers a highly competitive package as well as 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 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.
#J-18808-Ljbffr
