At a Glance
- Tasks: Join a cutting-edge team to develop innovative trading platforms and solve complex problems.
- Company: Global Prop Trading firm known for its tech-driven culture and rapid growth.
- Benefits: Unlimited salary potential, profit-sharing options, and a relaxed work environment.
- Other info: Collaborate with smart minds in a calm, open atmosphere that encourages creativity.
- Why this job: Be part of a fast-paced, tech-focused environment where your ideas can make a real impact.
- Qualifications: PhD in maths or stats, coding skills in Python/C++, and experience in high-frequency trading.
The predicted salary is between 67500 - 82500 £ per year.
Quant Researcher Latency Driven Trading Quant Capital is urgently looking for a Quant Strategist / Researcherto join our high profile client.
Our client is a well known global Prop Trading firm.
They like technology especially the opensource variety as well as scalability and robust performance (much like their track record).
They currently run around 1 billion in liquid capital.
They are latency driven, cover almost all asset classes and are rumoured to be the fastest in the market. (Not that they would tell you)This is an environment of google or a startup where tech is number 1 (26million budget last year…).
The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.
I am looking for a mathematician who has exposure to the HFT or Prop space as well as and understanding in Black box technology and research.
On a day to day basis you will hack, join, evangelise and generally create interesting platforms and routes to market.
You should be able to code but also rack a server and potentially play around all through the application layer.
We would expect to see profiles with: Experience in a prop fund or bank Understanding and experience of anything sub 1 second.
A bright mind Python C++ or Opensource Ph D in comp sci or stats Ideally some experience of trading risk You will probably know you are right for this job if you aren’t sure it’s probably not for you.
An appetite for delivering solutions to complex problem You must be hands on and have excellent experience of working in a demanding or jack of all trades environment.
You will also be a Mathematician interested in finance and motivated by technology.
In return you will be rewarded seriously financially we have no limit on basic salary and potential pnl share options.
The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
The atmosphere is calm and relaxed with an open dress code.
This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
My client is based in London If this sounds of interest then please send your most recent cv to applications@www. quant-capital. co. uk or call James Holland on 0203 757 8484Scala Ocaml f# Java Linux HPC HFT Systems Infrastructure Linux troubleshooting virtualization; KVM, Virtual Box, BGP, OSPF, VRRP, HSRP Cisco IOS, F5 IPSEC, GRE, PPTP Postgre SQL, My SQL, Linux, Python, Bash sys admin devops
Quant Researcher Latency Driven Trading in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Researcher Latency Driven Trading in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Quant Capital!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quant Researcher Latency Driven Trading at Quant Capital.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quant Capital.
✨Apply Directly through Our Website
When you find a suitable opening like Quant Researcher Latency Driven Trading at Quant Capital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quant Researcher Latency Driven Trading in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quant Capital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quant Capital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quant Capital
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quant Capital!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
