Senior Quant Engineer
Employment Info
JOB DETAILS
Requirements
- Strong engineering capability in Python, with proficiency in at least one of C++, Java or C#
- Advanced SQL skills and confidence working with large‑scale, data‑intensive workloads
- Solid grounding in applied mathematics, statistics, probability or optimisation
- Proven experience building scalable, production‑grade analytics systems
- Background in quantitative development, analytics engineering, or front‑office analytics within financial services
- It is desirable for you to have experience with cloud platforms, preferably Azure and modern CI/CD practices
- You will ideally have exposure to machine learning tooling (such as PyTorch or TensorFlow) and LLM frameworks
Responsibilities
- Quantitative & Analytics Engineering: Design and implement pricing, risk, and portfolio analytics used in real decision making
- Production Ownership & Engineering Discipline: Contribute to disciplined testing, release management, monitoring, and documentation
- ML, AI & Advanced Analytics: Contribute to the practical application of ML and GenAI (including LLM based systems) for analytics augmentation, decision support, and workflow automation
- Markets & Collaboration: Apply analytics to pricing strategy, risk management, and execution analysis
Desired Qualifications
- Experience with cloud platforms, preferably Azure and modern CI/CD practices
- Exposure to machine learning tooling (such as PyTorch or TensorFlow) and LLM frameworks
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