Quantitative Analyst
2 weeks ago
Key Responsibilities:
- Conduct research and development to support the company's proprietary analytics and automation initiatives
- Design, build and improve systematic models and analytical frameworks using Python
- Develop and maintain automation scripts and data workflows to enhance efficiency and scalability.
- Contribute innovative ideas and practical solutions to improve model performance and workflow integration
- Retrieve and process data from REST APIs and databases (e.g., MySQL)
- Create and maintain clear documentation for models, processes, and modules
- Support ongoing operations and respond to ad-hoc analytical or technical requests
Requirements:
- Bachelor's degree in mathematics / Statistics / Data Science, or a related quantitative field.
- Strong proficiency in Python programming, including data manipulation, modelling, and workflow automation
- Understanding of machine learning workflows or MLOps; experience with time series data is a plus
- At least 1 year of experience in data analytics, scripting, or model development
- Excellent analytical thinking and problem-solving skills
- Creative and proactive in identifying opportunities to enhance efficiency and model accuracy
Preferred Qualifications / Additional Skills:
- Familiarity with AWS cloud services and Linux commands for workflow automation
- Experience with Excel and VBA for data review or support tasks
- Interest or background in macroeconomics and financial market dynamics
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