Data Engineer (Quantitative)

Ploy Asia; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading investment firm in Singapore is seeking a Quantitative Data Engineer to join its quantitative investment team. Ideal candidates will develop Python-based data pipelines and work on complex datasets to support investment strategies. Strong proficiency in Python and knowledge of statistics and machine learning are essential. This role offers competitive compensation and is onsite in Singapore.

Benefits

Competitive Compensation

12 months contract role

Qualifications

• Strong proficiency in Python, including pandas and data manipulation libraries.
• Experience with DuckDB or similar data query/processing tools is a plus.
• Solid understanding of statistics, probability, and machine learning models.
• Strong problem-solving skills and ability to work in a fast-paced investment environment.
• Excellent communication skills and teamwork mindset.

Responsibilities

• Develop and maintain Python-based data pipelines and workflows.
• Perform data manipulation, cleaning, and validation to support quantitative analysis.
• Apply statistical methods and machine learning models to extract insights.
• Collaborate closely with the quantitative investment team.
• Work onsite in Singapore and communicate results effectively.

Skills

Strong proficiency in Python

Data manipulation with pandas

Statistical methods

Machine learning models

Problem-solving skills

Excellent communication skills

Education

Background in quantitative research, data science, or related field

Tools

DuckDB

SQL-based platforms

Job description

What’s on Offer:

• Location: Singapore
• 12 months contract role (with the possibility of extension)
• Competitive Compensation

We are seeking for Quantitative Data Engineer to join our client’s quantitative investment team. The ideal candidate will be responsible for manipulating large datasets, applying statistical techniques, and building machine learning models to support investment strategies.

Job Description:

• Develop and maintain Python-based data pipelines and workflows using DataFrames and other data tools.
• Perform data manipulation, cleaning, and validation to support quantitative analysis.
• Apply statistical methods and machine learning models to extract insights from complex datasets.
• Collaborate closely with the quantitative investment team to support research and investment strategies.
• Work onsite in Singapore and communicate results effectively to stakeholders.

Job Requirements:

• Strong proficiency in Python, including pandas and data manipulation libraries.
• Experience with DuckDB or similar data query/processing tools is a plus.
• Solid understanding of statistics, probability, and machine learning models.
• Background in quantitative research, data science, or a related field.
• Strong problem-solving skills and ability to work in a fast-paced investment environment.
• Excellent communication skills and teamwork mindset.

Nice to Have:

• Prior experience in quantitative finance, investment research, or trading environments.
• Knowledge of additional data tools and SQL-based platforms.