
Quant Engineer
4 weeks ago
Location: Singapore
Duration: 12 Months Contract - Long Term Projects (Extendable)
Experience: 5–10 Years
About the RoleWe 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.
- 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.
- 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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