Deep Learning Researcher (PhD) - HFT (Amsterdam)

Fionics; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

An established industry player is on the lookout for a Deep Learning Researcher to enrich their dynamic team of experts. This role offers the chance to engage in cutting-edge research without the need for prior financial or trading experience. The ideal candidate will possess a PhD and a strong publication record in prestigious conferences, contributing to innovative projects in areas like reinforcement learning and uncertainty modelling. With a preference for in-office collaboration, this position promises an intellectually stimulating environment where your research can significantly impact the field.

Qualifications

• PhD and several years of post-PhD experience required.
• Publications in top conferences and journals are valued.

Responsibilities

• Join a team of accomplished researchers and traders.
• Conduct research in deep learning and related fields.

Skills

Language Models

Drug Design

Physical System Modelling

Uncertainty Modelling

Off-Policy Reinforcement Learning

Distribution Shift Detection

Nonstationarity Modelling

Active Learning

Education

PhD

Job description

Tier 1 HFT Seeks Deep Learning Researcher

Tier 1 HFT is seeking a Deep Learning Researcher to join our team.

Our team: A group of 5 highly accomplished, academically oriented researchers and traders with expertise in statistics, reinforcement learning, machine learning, and more.

Role specifics: We are looking for research experts. No specific financial, trading, or HFT experience is required.

Desired expertise and publications:

• Language Models
• Drug Design
• Physical System Modelling
• Uncertainty Modelling
• Off-Policy Reinforcement Learning
• Distribution Shift Detection
• Nonstationarity Modelling
• Active Learning

This role requires a PhD and several years of post-PhD experience.

We value publications in top conferences and journals such as ICML, ICLR, NeurIPS, AAAI, UAI, KDD, etc.

The team is based in Amsterdam and prefers in-office presence several days a week.

Please contact us for more details or if you have questions.