Junior Quantitative Engineer
Employment Info
JOB DETAILS
Requirements
- Tertiary qualifications in a Quantitative discipline
- 2-5 years’ experience in a high-end, high-touch analytical capacity gained in fast-paced corporate settings
- Strong foundation in Python for analytics and data-driven applications
- Solid grounding in mathematics, statistics, probability, or optimisation
- Ability to write clear, maintainable, and testable code; basic SQL skills
- Interest in financial markets, analytics and applied quantitative models
- Willingness to learn quickly, get feedback and continuously improve
- Solid practical experience gained in software engineering, analytics, quantitative development, or relevant internships
Responsibilities
- Implement and support pricing, risk, and portfolio analytics with guidance from senior quants and engineers
- Translate quantitative ideas into clean, testable, production-ready code and reusable libraries
- Build and support automated data pipelines (batch and streaming), CI/CD, monitoring, and documentation
- Collaborate closely with traders, risk managers, and engineers, learning how analytics behave in real markets
- Gain exposure over time to ML and AI (including LLM-based tools), with appropriate testing, validation, and monitoring
Desired Qualifications
- Exposure to C++, Java, or C# in an engineering or academic setting
- Familiarity with automated data pipelines and modern engineering practices such as testing or CI/CD
- Introductory exposure to machine learning, advanced analytics, or AI tools
Are you interested in this position?
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