At a Glance
- Tasks: Build and maintain a cutting-edge platform for data storage and transformation.
- Company: Join Winton, a leading research-based investment management firm.
- Benefits: Competitive salary, health benefits, remote work options, and growth opportunities.
- Other info: Collaborative environment with a focus on the latest technologies.
- Why this job: Make a real impact in financial markets with innovative technology.
- Qualifications: Degree in Computer Science or related field and 2+ years of software development experience.
The predicted salary is between 56700 - 69300 £ per year.
- Software Developer, Quantitative Platform
- Winton
- London
- Abroad
About Winton Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets.
The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes.
Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors.
We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.
We seek a highly skilled developer with strong computer science fundamentals to join our Quantitative Platform team.
This team is responsible for developing the core platforms that underpin and provide data to the research and trading of our quantitative investment strategies, alongside tools, APIs, libraries, and user interfaces to support this.
In this role you will work closely with our research and other technology teams to deliver high impact projects that improve our ability to predict and trade movements in global financial markets.
Our Technology Operating in a cloud-first environment, we predominantly write our backend systems in C# but otherwise make pragmatic choices for each scenario.
This often means Python with C++ employed in performance-sensitive cases.
Our applications are written with containerisation in mind from the outset and deployed as a Docker image into Kubernetes on AWS where we can scale on-demand to satisfy burstable workloads.
We make extensive use of Kafka for low-latency communication across applications and use a mixture of different technologies for storage, from S3 to relational databases.
We utilise Git Hub for source control and Jenkins for CI, though with an increasing interest in Git Hub Actions.
We constantly evaluate our stack to ensure we’re using the most appropriate technologies for the needs of our business and the efficient delivery of those requirements.
Your responsibilities will include
- Build and maintain a world-class platform that enables storage, transformation, and testing of data at scale by leveraging the latest open-source software, cloud, and distributed computing technologies.
- Gain a deep understanding of the requirements of our research teams to deliver business-critical functionality in a timely-manner.
- Collaborate with the team through active contribution in code reviews, knowledge-sharing, and design discussions.
- Write and maintain good quality, well-tested code across services, data storage and UI layers.
What we're Looking For
- A Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Physics or equivalent technical field.
- 2+ years of professional software development experience, including C#, Python or C++.
- Comfortable using agentic AI coding tools such as Claude Code and are genuinely keen to use them as a natural part of daily work.
- Collaborative nature and ability to work in a team e. g., partnering with portfolio managers, quantitative researchers, and other technologists.
- Strong interest in keeping abreast of latest technologies and a measured approach for adopting them.
- Comfortable with problem solving across multiple technologies and business domains.
What would Be Useful
- Experience engineering systems for the cloud-based storage and processing of large datasets or using frameworks such as Spark and open standards like Parquet and Arrow.
- Experience working with other cloud and related technologies, such as Docker and Kubernetes.
- Experience working as a software developer in the quantitative hedge fund space.
- Experience building web applications using front-end frameworks such as Angular.
Equal Opportunity Workplace We are proud to be an equal opportunity workplace.
We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Software Developer, Quantitative Platform in London employer: Academic Key
Deliveroo is an exceptional employer that prioritises the well-being of its employees while fostering a culture of innovation and collaboration. With a commitment to diversity and inclusion, we offer competitive benefits tailored to each country, including generous leave allowances and support for charitable causes. As part of a rapidly growing global team, you'll have the opportunity to work on impactful projects that shape the future of customer support, all while enjoying a dynamic and supportive work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer, Quantitative Platform in London
✨Join Local Tech Meetups
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We think you need these skills to ace Software Developer, Quantitative Platform in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Academic Key.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Academic Key and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Academic Key
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Academic Key uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
