Quantitative Research Engineer
2 weeks ago
Quantitative Research Engineer - Algorithmic Trading Firm - Competitive Compensation
Durlston Partners is collaborating with a leading Algorithmic Trading Firm in search of a Quantitative Research Engineer. This role is pivotal in advancing their research infrastructure, with a focus on sophisticated trading simulations, high-performance numerical analysis, and cutting-edge algorithm creation.
The firm has heavily invested in state-of-the-art technology, providing access to an extensive research cluster equipped with premium GPU capabilities.
Key Responsibilities:
- Design and sustain a research framework optimized for complex trading simulations and numerical evaluations.
- Work closely with a team of Quantitative Analysts and Traders to discover, conceptualize, and execute new trading strategies.
- Refine and enhance algorithmic trading models and methodologies.
- Participate in the development and improvement of advanced market simulators for back-testing and scenario assessments.
- Maintain high standards of data integrity and consistency within our computational systems.
Qualifications:
- Proven experience in high-frequency trading or high-performance computing settings, ideally within a financial or trading environment.
- Strong programming proficiency in Python and C++.
- Knowledge of GPU programming and optimization strategies.
- Familiarity with financial markets, trading concepts, and quantitative methodologies.
- Degree in Computer Science, Mathematics, Physics, or a related discipline (advanced degree preferred).
Compensation: Competitive salary range, negotiable based on experience and qualifications.
We value diverse experiences and encourage all qualified candidates to consider this opportunity.
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