At a Glance
- Tasks: Join a cutting-edge team to develop machine learning models for global equities trading.
- Company: High-frequency trading firm with a focus on innovation and technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic and collaborative environment with global reach and impact.
- Why this job: Be at the forefront of finance and technology, shaping the future of trading.
- Qualifications: Strong background in machine learning and finance, with a passion for research.
The predicted salary is between 60000 - 80000 € per year.
The setup: a HFT prop firm, building an ML-driven mid-frequency (mins>hours) global equities team, hiring in London. Central team (building globally across APAC, EU).
Machine Learning Researcher - Equities employer: Augmentti
As a Machine Learning Researcher at our high-frequency proprietary trading firm in London, you'll be part of a dynamic and innovative team dedicated to leveraging cutting-edge technology in the global equities market. We pride ourselves on fostering a collaborative work culture that encourages creativity and professional growth, offering ample opportunities for skill development and career advancement. With a focus on impactful projects and a commitment to employee well-being, we provide a unique environment where your contributions can lead to meaningful results in the fast-paced world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher - Equities
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to equities. We want to see your work in action, so make it easy for us to be impressed!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your thought process. We love candidates who can articulate their ideas clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who are eager to join our ML-driven team.
We think you need these skills to ace Machine Learning Researcher - Equities
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Researcher role. Highlight relevant experience in equities and any projects that showcase your ML skills. We want to see how you can contribute to our global team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background fits with our vision at StudySmarter. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any interesting ML projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Augmentti
✨Know Your Algorithms
Brush up on your machine learning algorithms, especially those relevant to equities. Be ready to discuss how you would apply them in a high-frequency trading context. We recommend preparing examples of past projects where you've successfully implemented these techniques.
✨Understand the Market
Familiarise yourself with current trends in global equities and how machine learning is shaping the industry. This will not only show your passion but also help you engage in meaningful discussions during the interview. We suggest reading up on recent case studies or news articles related to ML in finance.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and understanding of machine learning concepts. We advise practising coding challenges and whiteboard exercises that are common in tech interviews. Make sure you can explain your thought process clearly as you work through problems.
✨Showcase Your Team Spirit
Since this role involves working within a central team, highlight your collaborative experiences. We encourage you to share examples of how you've worked effectively in teams, especially in fast-paced environments. This will demonstrate that you can thrive in their dynamic setting.
