Quantitative Researcher/ ML Researcher
Tardis Group ·www.tardis-group.com
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Quantitative Researcher/ ML Researcher
Company Description:
We are partnered with a prominent proprietary trading firm, widely regarded as one of the leading quantitative trading firms globally.
We are working alongside senior members of their London and New York offices as they seek to expand their teams by hiring top-tier research and trading professionals across several key desks in the regions.
While the firm has historically attracted exceptional graduate talent from the world’s leading universities, it is now placing an increasing emphasis on attracting seasoned professionals to further enhance and diversify its teams.
Role Description:
We are seeking individuals to join our research team who have extensive experience in machine learning, whether from an applied or academic background. The ideal candidate will possess a strong understanding of a broad range of ML techniques and be passionate about experimenting with model architectures, feature transformations, and hyperparameters to drive robust and reliable inferences.
As an ML researcher, you will play a key role in shaping the firm’s future ML advancements. This includes contributing to the recruitment of new ML talent, presenting at conferences, mentoring teammates, and helping define the organization’s strategic goals for machine learning.
Qualifications:
Locations: London and New York
*Please note that we will not respond and share information with applicants that we deem unsuitable for the position.
Company Description:
We are partnered with a prominent proprietary trading firm, widely regarded as one of the leading quantitative trading firms globally.
We are working alongside senior members of their London and New York offices as they seek to expand their teams by hiring top-tier research and trading professionals across several key desks in the regions.
While the firm has historically attracted exceptional graduate talent from the world’s leading universities, it is now placing an increasing emphasis on attracting seasoned professionals to further enhance and diversify its teams.
Role Description:
We are seeking individuals to join our research team who have extensive experience in machine learning, whether from an applied or academic background. The ideal candidate will possess a strong understanding of a broad range of ML techniques and be passionate about experimenting with model architectures, feature transformations, and hyperparameters to drive robust and reliable inferences.
As an ML researcher, you will play a key role in shaping the firm’s future ML advancements. This includes contributing to the recruitment of new ML talent, presenting at conferences, mentoring teammates, and helping define the organization’s strategic goals for machine learning.
Qualifications:
- An advanced degree in a STEM discipline.
- Advanced ML experience at a reputable buy-side player or Big Tech institution
- Exceptional coding skills
Locations: London and New York
*Please note that we will not respond and share information with applicants that we deem unsuitable for the position.
Frequently asked questions
Who is hiring for the Quantitative Researcher/ ML Researcher role?
Tardis Group is hiring for the Quantitative Researcher/ ML Researcher position, a Shazamme client. Apply directly on the employer's career site.
Where is the Quantitative Researcher/ ML Researcher job located?
The Quantitative Researcher/ ML Researcher role with Tardis Group is based in London, GB.
Is the Quantitative Researcher/ ML Researcher role full-time or contract?
This is a full time position at Tardis Group.
What experience level is the Quantitative Researcher/ ML Researcher role?
The Quantitative Researcher/ ML Researcher position is aimed at mid-level candidates.
How do I apply for the Quantitative Researcher/ ML Researcher role at Tardis Group?
Apply directly on Tardis Group's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.