Quant Engineer

7 days ago

Singapore Argyll Scott Singapore Full time

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

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