At a Glance
- Tasks: Design and develop trading algorithms while collaborating with a dynamic quant team.
- Company: Leading London-based trading firm focused on low latency trading.
- Benefits: Competitive salary, 40% bonus, and a collaborative work environment.
- Other info: Friendly atmosphere with quick decision-making and excellent career growth opportunities.
- Why this job: Join a growing firm and gain exposure to high-frequency trading in a flat management structure.
- Qualifications: STEM Masters or PhD, proficient in Python/RSQL, and a passion for capital markets.
The predicted salary is between 81000 - 99000 £ per year.
Junior Quant Analyst – Trading50,000 + 40% bonus Leading London-based trading firm has an outstanding opportunity for a Junior Quant to join their low latency trading team.
Our client is a quant prop trading and market-making business specialising in CFD’s.
As a Junior Quant Analyst you will:• Work closely with the Head of Trading and the Quant Team and assist in the design and development of new trading algorithms• Help engineer a new greenfield low latency trading platform from a quant standpoint• Work on connectivity to Financial Exchanges• Client Trading Support• Improve/maintain existing strategies• Work with traders, understand requirements for new applications and strategies to develop and also resolve issues if any• Work with existing Quant Analysts and Developers to solve complex problems• Assist with project work This is an opportunity for someone that wants to work with a smart people in a collaborative environment that is solely focused on cross asset trading.
They avoid the bureaucracy of larger organisations, and keep their management structures flat.
Decisions are made efficiently; changes are implemented quickly.
It’s a friendly, open place where people are motivated because they enjoy what they’re doing.
Junior Quant Analyst MUST have: STEM Masters or Ph D from a top 40 University Globally Python/RSQLGood understanding of general programming concepts, diligent coder.
Intertest in capital markets/crypto market making a plus This is an outstanding opportunity for a Junior Quant to join a growing trading business at a time of significant interesting growth within the sector.
You will gain massive exposure to High Frequency Trading.
My client is based in the City of London
Junior Quant Analyst – 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 Junior Quant Analyst – 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 Junior Quant Analyst – 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 Junior Quant Analyst – 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 Junior Quant Analyst – 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.
