At a Glance
- Tasks: Build and maintain automated trading systems while researching and deploying your own models.
- Company: Boutique quant trading firm with a performance-driven culture and top-tier talent.
- Benefits: Up to £150,000 base salary plus bonuses, hybrid work, and rapid career progression.
- Other info: Collaborative environment with ownership of greenfield projects and meritocratic culture.
- Why this job: Launch your career in quantitative finance with cutting-edge technology and exceptional colleagues.
- Qualifications: Top-tier STEM degree, strong programming skills in Python or C++, and a passion for tech.
The predicted salary is between 120000 - 150000 £ per year.
A boutique quant trading firm is seeking an exceptional graduate to join a world-class front-office team of some of the brightest quantitative minds in the industry. With an effectively unlimited technology budget, a strong performance-driven culture, and a flat, non-bureaucratic structure, this is a rare opportunity to launch a career at the very top of quantitative finance.
The Role
You will work in a highly collaborative front-office environment, contributing directly to the design and development of fully automated, high-performance trading systems.
Key Responsibilities
- Building and maintaining ultra-low-latency, automated trading infrastructure
- Researching, testing, and deploying your own trading models
- Writing production-grade code in Python and/or C++ (team dependent)
- Collaborating closely with senior researchers and technologists
Requirements
- A top-tier degree from a highly reputed university in a STEM discipline (Computer Science or Mathematics strongly preferred)
- Outstanding fundamentals in data structures, algorithms, probability, and statistics
- Strong programming ability in a modern language such as Python or C++
- Demonstrated passion for technology through personal projects, hackathons, meet-ups, or research
What’s on Offer
- Ownership of multiple greenfield projects using bleeding-edge technology
- Work alongside exceptional technologists and researchers, including Olympiad medalists
- A meritocratic, non-bureaucratic culture with rapid career progression
- Highly competitive compensation and bonus structure
Graduate Quant Developer in London employer: Hunter Bond
Join a leading boutique quant trading firm in London, where you'll be part of a dynamic and innovative team that thrives on collaboration and cutting-edge technology. With a strong performance-driven culture and a commitment to employee growth, this role offers exceptional opportunities for rapid career advancement and the chance to work on groundbreaking projects alongside some of the brightest minds in quantitative finance. Enjoy a competitive compensation package and the unique advantage of a flat organisational structure that empowers you to make a real impact from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Quant Developer in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Hunter Bond when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Hunter Bond.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Hunter Bond.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Hunter Bond’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Quant Developer in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Hunter Bond, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Hunter Bond aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Hunter Bond
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
