At a Glance
- Tasks: Conduct quantitative research and develop machine learning models for high-frequency trading.
- Company: Collaborative fund focused on innovative trading strategies.
- Benefits: Competitive salary and opportunities for professional growth.
- Other info: Exciting opportunity to work with equities and make impactful contributions.
- Why this job: Join a dynamic team and leverage your skills in a fast-paced environment.
- Qualifications: 8+ years in quantitative research, proficient in C++ and Python, strong machine learning knowledge.
The predicted salary is between 80000 - 120000 £ per year.
Our client is a collaborative fund. We are engaged with them seeking a Quantitative Researcher with a strong focus on High Frequency Trading.
What We're After
- 8+ years working within a Quant Research Position
- C++ and Python
- Strong knowledge of Machine Learning
- A curious mind
- Asset class: Equities
Candidate must have the right to work in the UK.
Please submit your CV and apply. We will only get back to relevant candidates. Many thanks and good luck!
Quantitative Researcher - HFT | Machine Learning employer: Pagos Consultants
Our client is an exceptional employer, offering a dynamic and collaborative work environment that fosters innovation in High Frequency Trading. With a strong emphasis on employee growth, they provide ample opportunities for professional development and encourage a culture of curiosity and teamwork. Located in the UK, this role not only promises meaningful work but also the chance to be part of a forward-thinking team at the forefront of machine learning applications in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher - HFT | Machine Learning
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in C++ and Python, especially those related to Machine Learning. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and understanding of High Frequency Trading. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our collaborative team.
We think you need these skills to ace Quantitative Researcher - HFT | Machine Learning
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in quantitative research, especially in High Frequency Trading. We want to see how your skills in C++ and Python shine through, so don’t hold back!
Showcase Your Machine Learning Skills:Since machine learning is a key focus for this role, include specific projects or experiences where you've applied these techniques. We love seeing real-world applications of your knowledge!
Be Curious:Let your curiosity come through in your application. Mention any innovative ideas or approaches you’ve explored in your previous roles. We appreciate candidates who think outside the box!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Pagos Consultants
✨Know Your Tech Inside Out
Make sure you brush up on your C++ and Python skills. Be ready to discuss specific projects where you've applied these languages, especially in the context of High Frequency Trading and Machine Learning. They’ll likely want to see how you can leverage these tools in real-world scenarios.
✨Showcase Your Curiosity
Since they’re looking for a curious mind, prepare to discuss recent trends or breakthroughs in quantitative research and machine learning. Bring examples of how your curiosity has led to innovative solutions or insights in your previous roles.
✨Understand the Asset Class
Familiarise yourself with equities and the specific challenges and opportunities they present in high-frequency trading. Being able to speak knowledgeably about market dynamics and how they relate to your quantitative strategies will set you apart.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions that show your interest in their collaborative culture and how they approach quantitative research. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
