Full time - Permanent - On Site - Dublin
About the Company
Our client is a leading global financial technology firm is seeking a Quantitative Researcher to join its collaborative teams of traders, quants, and engineers. The firm operates across thousands of securities and venues worldwide, delivering liquidity and advanced trading solutions through innovative technology.
About the Position
In this role, you will collaborate closely with traders, engineers, and fellow researchers to build and enhance data-driven trading strategies. Responsibilities include developing predictive models using statistical techniques, researching new trading approaches, improving existing strategies, constructing portfolio risk frameworks, and building tools for research automation and complex data visualization.
Key Responsibilities
* Applying statistical methods and analytical skills to build predictive models
* Designing and implementing new trading strategies
* Reviewing and enhancing current strategies to boost performance
* Developing frameworks to manage risk across portfolios
* Creating tools for automating research workflows and visualizing complex data
Experience/Requirements
* A PhD in a quantitative discipline such as mathematics, science, or engineering
* A strong academic record with diverse and rigorous coursework
* Advanced problem-solving, mathematical, and analytical abilities
* Proficiency in Python and/or C/C++, and comfort working in both languages
* Excellent communication skills and the ability to collaborate effectively across technical and non-technical teams
* The ability to perform under pressure and operate in fast-moving, data-driven environments
* Intellectual curiosity, adaptability, and a self-motivated approach to learning
* Comfort with ambiguity and the flexibility to shift gears as needed
Remuneration Package
Along with a market leading salary and benefits package, you will enjoy an innovative environment, have access to on site facilities like a gym, food catering and a barber.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Finance and Information Technology
* Industries
Staffing and Recruiting
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