Quant Algorithm Developer for Trading Models (2026 Grads) in City of London

Quant Algorithm Developer for Trading Models (2026 Grads) in City of London

City of London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Hudson River Trading

At a Glance

  • Tasks: Build predictive trading models and enhance trading efficiency with innovative teams.
  • Company: Leading algorithmic trading firm in London with a collaborative culture.
  • Benefits: Unique opportunity in a dynamic trading environment with career growth.
  • Other info: Perfect for 2026 graduates looking to kickstart their careers.
  • Why this job: Engage in cutting-edge trading technology and make a real impact.
  • Qualifications: Studying a quantitative discipline with programming skills in Python or C++.

The predicted salary is between 36000 - 60000 £ per year.

A leading algorithmic trading firm in London is seeking an Algorithm Developer for 2026 graduates. The role involves building predictive trading models and working closely with teams to enhance trading efficiency.

Candidates should be studying in a quantitative discipline and possess programming skills in Python or C++.

This position offers a unique opportunity to engage in a dynamic trading environment within a collaborative culture.

Quant Algorithm Developer for Trading Models (2026 Grads) in City of London employer: Hudson River Trading

As a leading algorithmic trading firm in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a focus on professional growth, we offer extensive training and mentorship opportunities, ensuring that our team members are well-equipped to excel in the fast-paced world of trading. Join us to be part of a dynamic environment where your contributions directly impact our success and where you can develop your skills alongside some of the brightest minds in the industry.

Hudson River Trading

Contact Details:

Hudson River Trading Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quant Algorithm Developer for Trading Models (2026 Grads) in City of London

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Quant Algorithm Developer for Trading Models (2026 Grads) at Hudson River Trading, 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 Algorithm Developer for Trading Models (2026 Grads) in City of London

Predictive Modelling
Algorithm Development
Programming in Python
Programming in C++
Quantitative Analysis
Collaboration Skills
Trading Efficiency Enhancement

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 Hudson River Trading, 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 Hudson River Trading. 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 Hudson River Trading

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 Hudson River Trading!

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.