Quant Engineer

Singapore

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Sector: 

Technology

Function:

Product & Engineering

Contact Name:

Pooja Sharma

Expiry Date:

07-Oct-2025

Job Ref:

JN -092025-490607

Date Published:

07-Sep-2025

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 - especially 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.

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