
Quantitative Data Specialist
1 week ago
Location: Singapore
Duration: 12 Months Contract - Long Term Projects (Extendable)
Experience: 5–10 Years
About the Role
We are seeking a seasoned professional to fill the role of Quantitative Data Specialist. This position is ideal for individuals with a background in data engineering, analytics, or quant, who possess hands-on expertise with tools and technologies.
The successful candidate will have a deep understanding of data pipelines, data structures, and Python scripting within a quantitative or financial data context. The primary responsibility will be to analyze complex data structures and data pipelines used in financial or investment analytics.
- Analyze and understand 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.
- 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.
- Able 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.
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