PhD Quantitative Researcher: Build & Deploy Trading Models

Flow Traders

Hong Kong

On-site

HKD 900,000 - 1,300,000

Full time

6 days ago
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Job summary

Flow Traders seeks a PhD Graduate Quantitative Researcher to join the quantitative trading team in Hong Kong. This is a unique opportunity to work with a leading proprietary trading firm, leveraging mathematics, statistics and machine learning to generate value in financial markets.

A successful candidate will design, analyze and deploy state-of-the-art models, analyze large datasets to identify trading signals, and collaborate with traders and technologists to move research into live

Qualifications

  • A PhD degree in Mathematics, Physics, Computer Science or a related quantitative field.
  • Strong statistical and linear algebra knowledge.
  • Proficiency in implementing models and algorithms in Python or C++.
  • Experience in Deep Learning is a plus.
  • Strong analytical and problem-solving skills with the ability to work independently on open-ended problems.
  • Ownership and entrepreneurship.

Responsibilities

  • Design, build, optimize, and deploy state-of-the-art models and algorithms for systematic trading.
  • Analyze large datasets to identify patterns and signals for trading strategies.
  • Collaborate with traders and technologists to bring models from research into live production.
  • Monitor and refine existing models based on live market performance.

Skills

Statistics
Linear Algebra
Python
C++
Deep Learning
Independent Work

Education

PhD in Mathematics/Physics/CS or related

Tools

Git
TensorFlow/PyTorch

Job description

Flow Traders seeks a PhD Graduate Quantitative Researcher to join the quantitative trading team in Hong Kong. This is a unique opportunity to work with a leading proprietary trading firm, leveraging mathematics, statistics and machine learning to generate value in financial markets.

A successful candidate will design, analyze and deploy state-of-the-art models, analyze large datasets to identify trading signals, and collaborate with traders and technologists to move research into live

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