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For Companies At a Glance
- Tasks: Join a team to develop and optimise latency-driven trading strategies.
- Company: Quant Capital, a leading firm in quantitative finance.
- Benefits: Attractive salary, flexible working hours, and opportunities for growth.
- Why this job: Be at the forefront of trading technology and make a significant impact.
- Qualifications: Experience in programming languages like Scala or Java and a passion for finance.
- Other info: Fast-paced environment with endless learning opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Software Engineer – DAML Application Runtime (UK)
108 E 16th Street, New York, NY 10003
Skills and Experience
Scala, Ocaml, F#, Java, Linux, HPC, HFT Systems, Infrastructure, Linux troubleshooting, virtualization; KVM, VirtualBox, BGP, OSPF, VRRP, HSRP, Cisco IOS, F5 IPSEC
Contact Information
If this sounds of interest then please send your most recent CV to applications@ or call James Holland on (***) ***-**** London.
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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
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 job.
✨Tip Number 2
Prepare for those tricky technical interviews! Brush up on your Scala, Ocaml, and Java skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your projects! If you've worked on any HPC systems or trading algorithms, make sure to highlight them. We love seeing real-world applications of your skills, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. We’re always on the lookout for passionate candidates, so don’t hesitate to hit that apply button!
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 the skills and experiences that are most relevant to the Quant Researcher role. We want to see how your background in Scala, Java, or any other relevant tech stacks aligns with what we're looking for.
Showcase Your Projects: If you've worked on any projects related to HFT systems or Linux troubleshooting, be sure to include them! We love seeing practical applications of your skills, so don’t hold back on the details.
Keep It Clear and Concise: When writing your application, clarity is key. We appreciate a well-structured CV that’s easy to read. Avoid jargon unless it’s necessary, and keep your descriptions straightforward.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role you’re interested in!
How to prepare for a job interview at WorksHub
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Scala, Ocaml, and Java. Brush up on your knowledge of Linux and high-frequency trading systems, as these will likely come up during technical questions.
✨Prepare for Problem-Solving Questions
Expect to tackle some challenging problem-solving scenarios related to latency-driven trading. Practice coding problems and algorithms that are relevant to high-performance computing to showcase your analytical skills.
✨Understand Networking Protocols
Since the role involves infrastructure, be ready to discuss networking protocols like BGP and OSPF. Familiarise yourself with how these protocols work and their importance in trading systems to demonstrate your expertise.
✨Showcase Your Troubleshooting Skills
Be prepared to talk about past experiences where you’ve successfully troubleshot issues in a Linux environment. Highlight specific examples that illustrate your ability to resolve complex problems quickly and efficiently.
