Quantitative Researcher

The incumbent will focus on why models work, not just implementation, and will help build long-lived, scalable, production-grade quant systems. This is a niche, high-impact role with the potential to scale into a dual Quant Researcher + Quant Developer position.

Will directly report to Quant
- Research Head
Experience - 1 year +

Key Responsibilities :
1. Design, research, and validate quantitative models with strong theoretical grounding.
2. Work on factor modelling, signal research, and model diagnostics, including but not limited to: P&L attribution (options), volatility methods, polymodels, data cleaning, data structures/visualisation, factor models, risk mitigation, asset allocation.
3. Collaborate closely with engineering, leadership, and product teams to integrate models into long-lived systems, not oneoff experiments.
4. Conduct deep diagnostics to explain model behaviour, performance drivers, and failure modes.
5. Continuously improve personal capability across both quant research and quant development (adaptable to quant dev/quant trader function). Refine models based on performance, risk behaviour, and market dynamics.

Functional Skills and Capabilities
Strong understanding of quantitative research methodologies.
Ability to reason deeply about model behaviour, assumptions, and failure modes.
Coding proficiency in Python and/or C++
Ability to balance research rigor with engineering pragmatism.
Passion to learn, evolve, and grow into a Quant Researcher + Quant Developer hybrid role.