Why This Role Stands Out
This Machine Learning Quant role offers a unique opportunity to build cutting-edge trading systems at a prestigious stealth startup founded by leading academics, with a highly competitive £150,000 salary plus bonus and investment potential. You will thrive here if you have a strong background in end-to-end ML model training, experience with advanced models like transformers and RL, and a passion for developing novel trading strategies. Apply now to be at the forefront of quantitative finance innovation.
Quick Overview
Salary
£150k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
On Site
Location
London, UK, United Kingdom
Posted
2 months ago
Machine Learning
Job Description
Machine Learning Quant - Start Up
£150,000 GBP
+ performance bonus + internal fund investment
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent
My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.
Description
-- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets.
-- Required: experience training ML models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences.
-- Positives but not requirement: PhD.
Reference: AMC/AHU/NW/SPH001
#alhu
£150,000 GBP
+ performance bonus + internal fund investment
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent
My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.
Description
-- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets.
-- Required: experience training ML models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences.
-- Positives but not requirement: PhD.
Reference: AMC/AHU/NW/SPH001
#alhu
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