Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
1 week ago
Machine LearningC++JavaPython
Job Description
Quantitative Researcher
We are seeking exceptional Quantitative Researchers to design and enhance proprietary trading models and strategies, collaborating closely with engineers and senior leaders across the firm. This role offers the opportunity to contribute to a range of trading strategies and research initiatives, while gradually developing independent research directions and originating new topics.
Key Responsibilities:
- Utilize financial and alternative data to develop or refine predictive models.
- Apply advanced statistical and machine learning techniques to strengthen the research and development infrastructure.
- Design and implement algorithms to monetize predictive signals.
Technical Requirements:
- Minimum of 4 years of full-time professional experience.
- Bachelor’s, Master’s, PhD, or Postdoctoral degree in finance, computer science, mathematics, statistics, machine learning, physics, or a related scientific field.
- Strong mathematical and analytical aptitude with exceptional problem-solving and modeling skills.
- Proven ability to conduct high-level statistical or applied mathematical research.
- Prior experience in a quantitative or trading-focused role is advantageous.
- Skilled in addressing complex, data-intensive challenges.
- Proficiency in at least one programming language: Python, C++, Java, or R.
Behavioral Requirements:
- Strong research discipline and attention to methodological rigor.
- Self-motivated, productive, and driven by a sense of ownership and urgency.
- Intellectually curious, creative, and analytical.
- Excellent communication and collaboration skills.
- Exceptional attention to detail.
- Comfortable working both independently and within a multidisciplinary team.
- Tenacious and entrepreneurial mindset with the desire to build and innovate from the ground up.
Apply:-
Please send a PDF CV to
mailto:quants@ekafinance.com
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