Quantitative Research (Python/Machine Learning)

My client is a start-up hedge fund that since starting last year, are already managing over £140 million in assets. They specialise in developing trading strategies through Machine Learning techniques and have huge growth plans for the next 3 year's that revolve around this hire and a number of other keys hires this year.

They are looking for a Quantitative Researcher with a strong educational background and at least 2 year's commercial experience writing production code and in a research based role within financial services.

Requirements

• PhD/Master's in Engineering/Statistics/Mathematics/Physics/Computer Science
• Strong Python programming skills (ability to write production code rather than just prototyping and research)
• Machine Learning/Modelling experience
• 2-3 year's commercial experience in a Quant/Researcher focussed role

This is a chance to join a small hedge fund with exciting growth plans and get exposure to cutting edge technologies, trading strategies and work on greenfield projects.

If you feel you meet these requirements and would like to find out more about this role please send a copy of your CV or call on 0207 997 1168 for more information. Your application will be held in strict confidence and your CV will not be forwarded on without a prior detailed conversation about the role and company and your express permission.

*please note all applicants must be eligible to work in the UK without sponsorship*

Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. It is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Quantitative Research (Python/Machine Learning)

My client is a start-up hedge fund that since starting last year, are already managing over £140 million in assets. They specialise in developing trading strategies through Machine Learning techniques and have huge growth plans for the next 3 year's that revolve around this hire and a number of other keys hires this year.

They are looking for a Quantitative Researcher with a strong educational background and at least 2 year's commercial experience writing production code and in a research based role within financial services.

Requirements

• PhD/Master's in Engineering/Statistics/Mathematics/Physics/Computer Science
• Strong Python programming skills (ability to write production code rather than just prototyping and research)
• Machine Learning/Modelling experience
• 2-3 year's commercial experience in a Quant/Researcher focussed role

This is a chance to join a small hedge fund with exciting growth plans and get exposure to cutting edge technologies, trading strategies and work on greenfield projects.

If you feel you meet these requirements and would like to find out more about this role please send a copy of your CV or call on 0207 997 1168 for more information. Your application will be held in strict confidence and your CV will not be forwarded on without a prior detailed conversation about the role and company and your express permission.

*please note all applicants must be eligible to work in the UK without sponsorship*

Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. It is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

You still want the buzz and enjoyment of financial modelling, development and risk management.

You still want to work with people in an environment that allows you to thrive.

You still have a soft spot for the software side of things - Python, MATLAB, C++ , all your old favourites.

You just don't want to be working in the centre of London anymore.

Well, we might just have the perfect solution...

All the energy and fast-paced work you love - but outside the city. The scale of the role is still huge, so don't worry about having to slow down in your new countryside lifestyle.

You'll work with a huge range of clients from across the EU, solving a variety of problems and getting stuck in with key projects.

From building proof of concepts to fully-working solutions, you'll be an important part of the firm's decision making.

All you need is a background in finance and the desire to work in Cambridge.

FRM, CQF, CFA – something like that, or just experience as a Quant or Risk Analyst, would be perfect.

As long as you're interested in being a software person...

You still want the buzz and enjoyment of financial modelling, development and risk management.

You still want to work with people in an environment that allows you to thrive.

You still have a soft spot for the software side of things - Python, MATLAB, C++ , all your old favourites.

You just don't want to be working in the centre of London anymore.

Well, we might just have the perfect solution...

All the energy and fast-paced work you love - but outside the city. The scale of the role is still huge, so don't worry about having to slow down in your new countryside lifestyle.

You'll work with a huge range of clients from across the EU, solving a variety of problems and getting stuck in with key projects.

From building proof of concepts to fully-working solutions, you'll be an important part of the firm's decision making.

All you need is a background in finance and the desire to work in Cambridge.

FRM, CQF, CFA – something like that, or just experience as a Quant or Risk Analyst, would be perfect.

As long as you're interested in being a software person...

Your Key Responsibilities in this role will be:

• Developing quality software to meet the changing business needs as well as contributing to the technology / development strategy of the business
• Analysing business technology problems and requirements with the view to developing robust, scalable solutions
• Facilitating technology knowledge-share across the team including participation in technology workshops
• Developing an exhaustive understanding of the Investment Management business and taking ownership for personal career development

The most successful applicant will have:

• Hands-on experience of the software development lifecycle, ideally with experience in some of the following within a commercial environment: C#.Net / Java / ASP.NET / Python / Powershell / HTML5 / Javascript / Bootstrap
• Experience of producing clear, concise, maintainable code and sharing knowledge with colleagues
• Enthusiasm and drive to become a well-rounded Software Engineer or Technical Architect

if your profile is a match and for more information, please apply with your most up to date CV in the first instance

Your Key Responsibilities in this role will be:

• Developing quality software to meet the changing business needs as well as contributing to the technology / development strategy of the business
• Analysing business technology problems and requirements with the view to developing robust, scalable solutions
• Facilitating technology knowledge-share across the team including participation in technology workshops
• Developing an exhaustive understanding of the Investment Management business and taking ownership for personal career development

The most successful applicant will have:

• Hands-on experience of the software development lifecycle, ideally with experience in some of the following within a commercial environment: C#.Net / Java / ASP.NET / Python / Powershell / HTML5 / Javascript / Bootstrap
• Experience of producing clear, concise, maintainable code and sharing knowledge with colleagues
• Enthusiasm and drive to become a well-rounded Software Engineer or Technical Architect

if your profile is a match and for more information, please apply with your most up to date CV in the first instance