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World renowned quant fund.
I’m currently hiring for a leading quant fund founded by two machine learning scientists, with around 250 people globally. This opportunity is for their London office, where a new team, led by an MIT grad, is looking to expand. The team is currently just two people, but they plan to add five more research staff in the coming months.
Responsibilities :
- Develop a rich understanding of challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our investment strategy
- Prepare and analyze new datasets to assess their predictive efficacy
- Develop, validate, and implement new models into production
- Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment
- Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes
- Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain
Requirements :
- Background applied researcher
- Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)
- Interest in software development techniques and willingness to write production level code (Python and/or R preferred)
- Ability to solve large-scale computing problems
- Eagerness to work in collaborative and diverse teams
- Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite
- Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred.
If Interested send me your Linkedin profile or CV.
I’m currently hiring for a leading quant fund founded by two machine learning scientists, with around 250 people globally. This opportunity is for their London office, where a new team, led by an MIT grad, is looking to expand. The team is currently just two people, but they plan to add five more research staff in the coming months.
Responsibilities :
- Develop a rich understanding of challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our investment strategy
- Prepare and analyze new datasets to assess their predictive efficacy
- Develop, validate, and implement new models into production
- Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment
- Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes
- Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain
Requirements :
- Background applied researcher
- Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)
- Interest in software development techniques and willingness to write production level code (Python and/or R preferred)
- Ability to solve large-scale computing problems
- Eagerness to work in collaborative and diverse teams
- Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite
- Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred.
If Interested send me your Linkedin profile or CV.
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