At a Glance
- Tasks: Manage the full research pipeline in a cross-asset trading environment.
- Company: Join Augmentti, a leader in systematic quant research.
- Benefits: Competitive salary and opportunities across major financial hubs.
- Other info: Collaborative team environment with collective research evaluation.
- Why this job: Make an impact in finance with your research and collaboration skills.
- Qualifications: 3-10 years of experience in time-series analysis and proficiency in Python and C++.
The predicted salary is between 60000 - 80000 £ per year.
Augmentti is seeking a systematic quant researcher to manage the full research pipeline within a cross-asset trading environment. The ideal candidate will have 3-10 years of experience and be skilled in time-series analysis and signal research, with Python and C++ proficiency. You will be part of a collaborative team where research is evaluated collectively. This role offers opportunities across major financial hubs, particularly in London.
Cross-Asset Quant Researcher: From Hypotheses to Production employer: Augmentti
At Augmentti, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Cross-Asset Quant Researcher, you will benefit from extensive professional development opportunities and the chance to work in one of the world's leading financial hubs, London. Our commitment to collective evaluation of research ensures that your contributions are valued and impactful, making Augmentti an excellent employer for those seeking meaningful and rewarding careers in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Cross-Asset Quant Researcher: From Hypotheses to Production
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quant research space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your time-series analysis and signal research projects. 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 Python and C++ skills. Be ready to discuss your past projects and how you've tackled challenges in a collaborative environment.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative to connect directly with us. It shows you're serious about landing that role!
We think you need these skills to ace Cross-Asset Quant Researcher: From Hypotheses to Production
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with time-series analysis and signal research in your application. We want to see how your Python and C++ skills can contribute to our cross-asset trading environment.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
Tailor Your Application:Don’t just send a generic application! Tailor it to reflect how your background aligns with our needs at Augmentti. Show us why you’re the perfect fit for this role.
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 don’t miss any important updates from our team.
How to prepare for a job interview at Augmentti
✨Know Your Numbers
Brush up on your time-series analysis and signal research skills. Be ready to discuss specific methodologies you've used in the past, as well as any relevant projects. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Coding Skills
Since proficiency in Python and C++ is key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with common libraries and frameworks used in quantitative research.
✨Collaborative Mindset
As this role involves working within a collaborative team, be prepared to discuss how you’ve contributed to team projects in the past. Highlight your ability to evaluate research collectively and how you handle feedback. This will show that you’re a team player who values collaboration.
✨Stay Current with Market Trends
Keep yourself updated on the latest trends in the financial markets and quantitative research. Being able to discuss recent developments or innovations in the field during your interview will demonstrate your passion and commitment to the industry.
