Quantitative Data Platform Engineer

Millennium; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

The Systematic Data Group is building a world class systematic data platform to power the next generation of systematic portfolio engineers. The role supports onboarding and validation of datasets, performs data quality checks, and generates descriptive statistics and quality metrics for users across quantitative investing teams.

Candidates bring strong Python skills, SQL knowledge, and an eye for detail. Recent graduates and those with up to 6 years in data operations or analytics are

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics or related field.
• Recent graduates welcome; up to 6 years in data ops, analytics, financial data, tech or financial services.
• Strong programming skills in Python; knowledge of Go, Rust, R, Java, C#, or C++ is a plus.

Responsibilities

• Onboard, validate, and maintain internal and external datasets used across systematic investment workflows.
• Perform data quality checks, reconciliation, and root-cause analysis.
• Generate statistics, summaries, coverage reports, and quality metrics for datasets.

Skills

Python

Analytical skills

Communication

Team collaboration

Education

Bachelor's degree in CS/Math/Stats

Master's degree in CS/Math/Stats

PhD in quantitative field

Tools

Go

Rust

R

Java

C#

C++

Job description

The Systematic Data Group is building a world class systematic data platform to power the next generation of systematic portfolio engineers. The role supports onboarding and validation of datasets, performs data quality checks, and generates descriptive statistics and quality metrics for users across quantitative investing teams.

Candidates bring strong Python skills, SQL knowledge, and an eye for detail. Recent graduates and those with up to 6 years in data operations or analytics are