Quant Engineer

Argyll Scott Singapore; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A global recruitment firm in Singapore is looking for a Quant Engineer specializing in Data Analytics. The ideal candidate will have 5–10 years of experience, strong Python skills, and a background in financial data environments. You will be responsible for analyzing complex data structures and automating data processing tasks. This position requires independent problem-solving and collaboration with various teams.

Qualifications

• 5–10 years of experience in a Quantitative Engineering / Data Analytics / Data Engineering role.
• Strong Python skills, especially in scripting for data processing.
• Deep understanding of data pipelines, data modeling, and data structures in complex environments.

Responsibilities

• Understand and analyze complex data structures and data pipelines used in financial or investment analytics.
• Leverage Python scripting to automate, clean, transform, or extract insights from large datasets.
• Work closely with quantitative researchers, data teams, and investment professionals to support data needs.

Skills

Python

Data structures

Data pipelines

Tools

Pandas

NumPy

SQL

Job description

Job Title: Quant Engineer – Data Analytics

Location: Singapore

Duration: 12 Months Contract - Long Term Projects (Extendable)

Experience: 5–10 Years

About the Role

We are currently exploring profiles for a Quant Engineer role focused on Data Analytics. This is a position suited for experienced professionals who bring deep understanding of data pipelines, data structures, and practical expertise in Python scripting within a quantitative or financial data context.

This position is ideal for someone with a background in data engineering, analytics, or quant, who is hands-on with tools and technologies.

Key Responsibilities

• Understand and analyze complex data structures and data pipelines used in financial or investment analytics.
• Leverage Python scripting to automate, clean, transform, or extract insights from large datasets.
• Work closely with quantitative researchers, data teams, and investment professionals to support data needs.
• Help validate and enhance the usability and integrity of analytics-ready datasets.
• Support data sourcing, integration, and validation activities in collaboration with internal stakeholders.

Required Skills & Experience

• 5–10 years of experience in a Quantitative Engineering / Data Analytics / Data Engineering role.
• Strong Python skills, especially in scripting for data processing.
• Deep understanding of data pipelines, data modeling, and data structures in complex environments.
• Familiarity with large datasets and experience working in financial or investment domains is preferred.
• Ability to work independently, exploring solutions and collaborating across cross-functional teams.

Nice to Have

• Exposure to quantitative research workflows, financial markets, or asset management environments.
• Familiarity with tools like Pandas, NumPy, SQL, or data validation frameworks.
• Prior experience working in a buy-side, investment bank, or financial analytics team.

Argyll Scott Consulting Pte Ltd

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.