Quantitative Researcher – 2026 PhD Graduate (Asia)

Quant Blueprint LLC; Singapore; Hybrid; SGD 179,000 - 256,000; Full time

Job summary

Citadel Securities in Asia is seeking a PhD-level Quantitative Researcher to develop and refine automated trading models. You will conceptualize valuation strategies, backtest signals, and translate algorithms into production-ready code while exploring novel data sources.

The role emphasizes independent research, advanced statistics, and clear communication. Opportunities exist in Hong Kong and Singapore, with a focus on cutting-edge market-making research across Asia.

Qualifications

• PhD in Mathematics, Statistics, Physics, CS, or another highly quantitative field.
• Strong knowledge of probability and statistics, incl. ML, time-series, NLP.
• Experience in data-driven research environments and independent research.
• Excellent analytical skills with attention to detail and strong communication.

Responsibilities

• Conceptualize valuation strategies and develop mathematical models for trading signals.
• Back test and implement trading models in a live trading environment.
• Explore unconventional data sources to drive innovation in monetization systems.
• Conduct research and statistical analysis to refine trading signals.

Skills

Probability & Statistics

Machine Learning

Time-series Analysis

NLP

Data-driven research

Analytical skills

Communication skills

Education

PhD in Mathematics, Statistics, Physics, CS, or related

Job description

# Quantitative Researcher – 2026 PhD Graduate (Asia)Citadel SecuritiesHong Kong, SingaporeFull-TimeQuant ResearcherPosted March 14, 2025Job DescriptionAt Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.### Your Objectives:- Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code - Back test and implement trading models and signals in a live trading environment - Use unconventional data sources to drive innovation - Conduct research and statistical analysis to build and refine monetization systems for trading signals### Your Skills & Talents:- PhD in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field - Strong knowledge of probability and statistics (e.g. machine learning, time-series analysis, pattern recognition, NLP) - Background working in a data driven research environment- Independent research experience - Excellent analytical skills, with strong attention to detail - Strong written and verbal communications skillsOpportunities available in Hong Kong, Singapore.