At a Glance
- Tasks: Research and develop alpha-generating signals using statistical models and machine learning.
- Company: Fionics, a leader in quantitative research with a focus on innovation.
- Benefits: Competitive salaries from $200K to $2M+, plus remote work flexibility.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in finance with your research skills.
- Qualifications: 3+ years of quantitative research experience and a PhD or Masters in a quantitative field.
The predicted salary is between 150000 - 200000 £ per year.
Fionics is seeking a Quantitative Researcher for roles in London and Remote. The ideal candidate will have 3+ years of quantitative research experience and a PhD or Masters in a quantitative field.
This position focuses on researching and developing alpha-generating signals, collaborating with portfolio managers and traders, and building statistical models and machine learning frameworks.
Competitive salaries ranging from $200K to $2M+ based on experience are offered.
Quantitative Researcher — Remote/London, Alpha Signals & ML employer: Fionics
Fionics is an exceptional employer that fosters a dynamic and innovative work culture, ideal for Quantitative Researchers looking to make a significant impact in the finance sector. With competitive salaries and opportunities for professional growth, employees are encouraged to collaborate closely with portfolio managers and traders, enhancing their skills in statistical modelling and machine learning. The flexibility of remote work combined with the vibrant atmosphere of London makes Fionics a unique place to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher — Remote/London, Alpha Signals & ML
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative research field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, models, and any alpha-generating signals you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in machine learning and quantitative analysis. We recommend practicing common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Researcher — Remote/London, Alpha Signals & ML
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your quantitative research experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter for this specific role. Mention your experience with alpha-generating signals and machine learning frameworks, as these are key to what we’re looking for.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role!
How to prepare for a job interview at Fionics
✨Know Your Numbers
As a Quantitative Researcher, you'll need to demonstrate your expertise in statistical models and machine learning. Brush up on key concepts and be ready to discuss specific projects where you've applied these skills. Prepare to explain your thought process and the impact of your work.
✨Showcase Collaboration Skills
This role involves working closely with portfolio managers and traders. Be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can translate complex quantitative findings into actionable insights for non-technical team members.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of quantitative research methods and machine learning frameworks. Practice explaining your approach to building models and generating alpha signals. Use real-world examples to illustrate your problem-solving abilities and analytical thinking.
✨Research Fionics
Before the interview, take some time to understand Fionics' mission, values, and recent projects. This will not only help you tailor your answers but also show your genuine interest in the company. Being informed about their work will allow you to ask insightful questions, making you stand out as a candidate.
