Senior Quantitative Analyst, Market Data Product

Referment; Hong Kong; Hybrid; HKD 900,000 - 1,400,000; Full time

Job summary

Referment invites a Senior Quantitative Analyst to join the product team in Hong Kong. You will work on a large historical market-data lake, applying quantitative methods and Python tools to client questions and translating insights into sales material and product improvements.

You will analyze order book data with Python libraries, support client solutions, and contribute to the product roadmap while communicating findings across technical and non-technical audiences.

Qualifications

• Five years' quantitative analysis experience and an MSc in a quantitative discipline such as STEM or Economics.
• At least three years working with order book market data and familiarity with derivatives, equities or fixed income.
• Proficiency in Python with libraries such as NumPy, pandas, Polars and scikit-learn, and comfortable handling large datasets.
• Excellent spoken and written English and Mandarin; Cantonese is a plus but not required.
• Strong presentation and written communication skills and the ability to manage complex projects and tight deadlines in a multidisciplinary team.

Responsibilities

• Analyse granular financial market and order book data using quantitative methods and Python-based tools.
• Support sales and marketing with data-driven analysis and help clients apply the product suite.
• Prototype technical solutions for external partners and clients.
• Gather client feedback and contribute ideas to the product roadmap with go-to-market and product teams.
• Document your code and methodologies for reproducibility and present findings clearly to technical and non-technical audiences.

Skills

Python

Quantitative analysis

Large data handling

Education

MSc in quantitative discipline

Tools

NumPy

pandas

Polars

scikit-learn

Job description

Referment invites a Senior Quantitative Analyst to join the product team in Hong Kong. You will work on a large historical market-data lake, applying quantitative methods and Python tools to client questions and translating insights into sales material and product improvements.

You will analyze order book data with Python libraries, support client solutions, and contribute to the product roadmap while communicating findings across technical and non-technical audiences.