Junior Quantitative Researcher — Growth & Flow Academy HK

Socket.dev

Hong Kong

On-site

HKD 600,000 - 900,000

Full time

9 days ago
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Benefits offered by this job

Flow Academy
Health insurance
In-house lounge with lounge & games
Breakfast & lunch provided
Hairdresser and massage therapist
Personal trainers & gym access
Annual company trip
Global rotations between offices

Job summary

Flow Traders in Hong Kong is seeking a Junior Quantitative Researcher to join the quantitative trading team. This role offers exposure to mathematics, statistics, and machine learning to develop models for live markets.

You will design, implement, and optimize models, analyze large datasets, and collaborate with traders and technologists to bring research into production, while learning in a fast-paced environment.

Qualifications

  • PhD in Math, Physics, CS or related quantitative field.
  • Strong statistics and linear algebra knowledge.
  • Experience implementing models in Python or C++.
  • Deep Learning experience is a plus.
  • Ability to work independently on open-ended problems.
  • Ownership and entrepreneurial mindset.

Responsibilities

  • Design, build, optimize, and deploy models for systematic trading.
  • Analyze large datasets to identify patterns and signals for trading strategies.
  • Collaborate with traders and technologists to deploy models to live production.
  • Monitor and refine models based on live market performance.

Skills

Statistics
Linear algebra
Problem solving
Independent work
Entrepreneurial mindset

Education

PhD in Mathematics, Physics, Computer Science or related quantitative field

Tools

Python
C++

Job description

Flow Traders in Hong Kong is seeking a Junior Quantitative Researcher to join the quantitative trading team. This role offers exposure to mathematics, statistics, and machine learning to develop models for live markets.

You will design, implement, and optimize models, analyze large datasets, and collaborate with traders and technologists to bring research into production, while learning in a fast-paced environment.

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