Deep Learning Researcher – HFT Prop-Firm

J.K. Barnes
London
1 year ago
Applications closed

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Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 Good

Machine Learning Engineer (Forward Deployed)

Senior Data Scientist

Lead Data Scientist / Deep Learning Practitioner

Lead Data Scientist / Deep Learning Practitioner

Lead Data Scientist - Deep Learning Practitioner

My client is an HFT/prop trading house built by an American mathematician from scratch for 200 individuals over the last 15 years. The company is a fully automated trading platform with a significant turnover market share in options, crypto, and futures. The team has outstanding research talent (IMO/IMC, ICPC, and Kaggle Grandmaster backgrounds). The setup is thoroughly collaborative, with distribution between asset classes.


We seek a Deep-Learning researcher with comprehensive academic or industrial experience in developing and experimenting with modern deep-learning architectures and original research in the AI field. The team is open to outbidding any available offers and remuneration expectations for the right person.



Requirements:

PhD in any STEM field (Computer Science is a plus).


Scientific publications in A Conferences (ICML, ICLR, NeurIPS, AAAI, UAI, KDD)
At least 3 first-authored papers in the past 3 years
Experience using ML techniques, knowledge of building out ML pipelines running for different streams.
Proficient in Python. C++ will be an advantage but not a pre-requisite.
Competition background is a strong plus (Kaggle / IMO / IMC / ICPC).

Responsibilities:

Building out original research in artificial intelligence space.


Collaborate with Quantitative Researchers in improving signals in HFT side of the business.
Using AI models in developing and deploying arbitrage strategies.
Analysing and wrangling with huge amount of unstructured data.
Feature designing and contribution to the research pipeline.
Leading and mentoring junior team members.
CQF preferred

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