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Y-Intercept

Quantitative Researcher - Xa

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

  • An advanced degree in Mathematics, Statistics, Physics, Engineering, Data Science, or a related quantitative field is required.
  • Strong knowledge of probability and statistics, such as machine learning, time-series analysis, pattern recognition, or natural language processing.
  • Proficiency in programming languages such as Python, C#, MATLAB, or SQL.
  • Experience as a quantitative researcher or trader, or in data science or machine learning, with a proven track record researching, developing, or implementing index rebalance strategies, including analyzing, optimizing, and automating index rebalancing processes using advanced quantitative methods and programming skills.
  • Product knowledge in equities, derivatives, fixed income, and other asset classes.
  • Strong organisational skills and attention to detail.
  • Excellent written and verbal communication skills.
  • Ability to work independently and as part of a team.

Responsibilities

  • Develop and research cross-asset strategies spanning equities, futures, rates, foreign exchange, and commodities.
  • Study inter-market relationships, regime behaviour, and macro-driven dynamics to identify relative-value and diversification opportunities.
  • Design signals and portfolio frameworks that manage correlation, volatility, and risk-parity effects across asset classes.
  • Perform end-to-end quantitative research to develop, test, and implement systematic trading strategies.
  • Analyse large financial datasets to identify robust signals and assess risk-adjusted performance.
  • Work with trading and engineering teams to deploy, monitor, and refine strategies in production.
  • Conduct ongoing performance analysis, diagnostics, and documentation.

About the Company

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Central and Western District, Hong Kong
Founded
2018

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