At a Glance
- Tasks: Design and enhance trading models while collaborating with engineers and leaders.
- Company: Dynamic firm focused on innovative trading strategies and research.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Opportunity to innovate and grow within a multidisciplinary team.
- Why this job: Make an impact in finance using advanced statistical and machine learning techniques.
- Qualifications: 4+ years experience in quantitative roles; strong analytical and programming skills required.
The predicted salary is between 48000 - 72000 € per year.
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
Quantitative Researcher/ London/ USA employer: Eka Finance
As a leading firm in the financial sector, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our London office offers exceptional opportunities for professional growth, with access to cutting-edge resources and mentorship from industry leaders, making it an ideal environment for Quantitative Researchers eager to make a significant impact in the world of trading strategies. Join us to be part of a team that values creativity, analytical thinking, and a commitment to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher/ London/ USA
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative research field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, models, or any relevant research. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quantitative research questions and be ready to discuss your past experiences.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application easier for us!
We think you need these skills to ace Quantitative Researcher/ London/ USA
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in quantitative research and any relevant technical skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Since this role requires proficiency in programming languages like Python or R, make sure to highlight your technical skills clearly. Include specific projects or experiences where you’ve applied these skills to solve complex problems.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Eka Finance
✨Know Your Numbers
Brush up on your statistical and mathematical concepts. Be ready to discuss how you've applied these in past roles, especially in developing predictive models. This will show your technical prowess and understanding of the quantitative landscape.
✨Showcase Your Projects
Prepare to talk about specific projects where you've used programming languages like Python or R. Highlight any algorithms you've designed or trading strategies you've contributed to. Real-world examples will make your experience tangible and impressive.
✨Demonstrate Collaboration Skills
Since this role involves working closely with engineers and senior leaders, be prepared to discuss how you've successfully collaborated in multidisciplinary teams. Share examples that showcase your communication skills and ability to work towards common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading strategies and research initiatives. This not only shows your interest but also your intellectual curiosity. It’s a great way to demonstrate that you’re not just looking for a job, but are genuinely interested in contributing to their success.
