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- Tasks: Join us as a Quant Researcher focusing on latency-driven trading strategies.
- Company: Quant Capital is a leading firm in high-frequency trading and quantitative research.
- Benefits: Enjoy competitive pay, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of an innovative team that thrives on cutting-edge technology and impactful trading strategies.
- Qualifications: PhD in computer science or statistics with experience in high-frequency trading systems.
- Other info: Ideal candidates will have skills in Scala, Python, or C++ and a passion for trading.
The predicted salary is between 43200 - 72000 £ per year.
Contact Information
If this sounds of interest, please send your most recent CV to applications@ or call James Holland on (***) ***-**** .
Skills
Scala, Ocaml, F#, Java, Linux, HPC, HFT Systems, Infrastructure, Linux troubleshooting, virtualization (KVM, VirtualBox), BGP, OSPF, VRRP, HSRP, Cisco IOS, F5 IPSEC
Location
London
Profiles with:
- Experience in a prop fund or bank
- Understanding and experience of anything sub 1 second
- A bright mind
- Python, C++, or Opensource skills
- PhD in computer science or statistics
- Ideally some experience of trading risk
You will probably know if you are right for this role…
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Quant Researcher Latency Driven Trading in London - Quant Capital employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher Latency Driven Trading in London - Quant Capital
✨Tip Number 1
Make sure to brush up on your knowledge of high-frequency trading (HFT) systems. Understanding the nuances of latency-driven trading will give you an edge in discussions during interviews.
✨Tip Number 2
Familiarise yourself with the specific programming languages mentioned in the job description, especially Scala and Ocaml. Having practical examples of projects or problems you've solved using these languages can really impress the hiring team.
✨Tip Number 3
Network with professionals in the quant finance space, particularly those who have experience in prop funds or banks. Engaging in relevant discussions can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your understanding of trading risk and how it relates to latency-driven strategies. Being able to articulate your thoughts on this topic will demonstrate your readiness for the role.
We think you need these skills to ace Quant Researcher Latency Driven Trading in London - Quant Capital
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in latency-driven trading. Emphasise your skills in Scala, Ocaml, F#, Java, and any other programming languages mentioned in the job description.
Showcase Relevant Experience: If you have experience in a prop fund or bank, be sure to detail this in your application. Mention any projects or roles that involved high-frequency trading (HFT) systems or infrastructure.
Highlight Technical Skills: Clearly outline your technical skills related to Linux troubleshooting, virtualization, and networking protocols like BGP and OSPF. This will demonstrate your capability to handle the technical demands of the role.
Include Academic Credentials: Since a PhD in computer science or statistics is preferred, make sure to include your academic qualifications prominently. If you have any publications or research relevant to trading risk, mention those as well.
How to prepare for a job interview at WorksHub
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Scala, Ocaml, F#, Java, and Python during the interview. Be prepared to discuss specific projects where you've applied these languages, especially in high-frequency trading or low-latency environments.
✨Demonstrate Your Understanding of Trading Systems
Familiarise yourself with concepts related to HFT systems and infrastructure. Be ready to explain how you would troubleshoot Linux systems and discuss your experience with virtualisation technologies like KVM and VirtualBox.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge of networking protocols such as BGP, OSPF, VRRP, and HSRP. Brush up on Cisco IOS commands and be ready to solve problems on the spot.
✨Discuss Your Academic Background
Since a PhD in computer science or statistics is ideal for this role, be prepared to discuss your research and how it relates to quantitative trading. Highlight any relevant experience in trading risk and how it has shaped your approach to quantitative analysis.
