At a Glance
- Tasks: Design and develop cutting-edge Python applications for risk analytics.
- Company: Join QRT, a global leader in quantitative investment management.
- Benefits: Enjoy a competitive salary, flexible work options, and a focus on work-life balance.
- Other info: Opportunity to work with modern technologies and advance your career in a dynamic team.
- Why this job: Make an impact by building innovative solutions in a collaborative environment.
- Qualifications: Strong Python skills and experience with APIs and distributed systems required.
The predicted salary is between 60000 - 75000 £ per year.
Overview
QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes.
We are a data- and technology-driven organization applying scientific methods to investing.
Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
- Role
- Your future role within QRT
We are seeking an experienced Software Engineer to work within our Risk Team to help design and build the next generation of our risk platform.
The role is expected to involve the following activities
Responsibilities
- Design, develop and maintain production-grade Python applications and services.
- Build scalable APIs, distributed systems and data pipelines supporting risk analytics and business workflows.
- Design and develop cloud-native applications using modern software engineering practices.
- Collaborate closely with Risk Managers and Quantitative Researchers to productionise analytical models and enhance existing platforms.
- Design reliable, observable and maintainable software with a strong focus on performance, scalability and operational excellence.
- Contribute to architecture discussions and continuously improve engineering standards, tooling and development practices across the team.
- Leverage modern AI-assisted development tools to improve software quality, developer productivity and delivery.
Qualifications
- Excellent Python development skills
- Strong understanding of object-oriented design and software engineering principles
- Demonstrable experience designing, building and supporting high-quality production systems
- Good knowledge and experience of developing REST APIs and backend services
- Strong SQL knowledge
- Experience with distributed systems, asynchronous processing and data pipelines
- Ability to test, debug and optimise software with a strong focus on reliability and performance
- Experience with containerisation and CI/CD practices
- Demonstrable ability to communicate and collaborate effectively with technical and business stakeholders
- A passion for building robust, maintainable software and continuously improving engineering practices
Desirable
- Cloud-native technologies, including AWS, Docker, Kubernetes and infrastructure automation
- Monitoring and observability tooling such as Prometheus, Grafana, Open Telemetry or similar technologies
- Modern backend and data technologies such as Fast API, Kafka, Airflow, Terraform or g RPC
- Financial markets or another data-intensive, low-latency environment
- Quantitative analytics, trading or risk platforms
- AI-enabled engineering solutions, retrieval-augmented applications or agentic workflows
- Modern AI-assisted development tools as part of the software engineering lifecycle
- EEO
QRT is an equal opportunity employer.
We welcome diversity as essential to our success.
QRT empowers employees to work openly and respectfully to achieve collective success.
In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
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Contact Details:
Quberesearchandtechnologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer – Risk in London
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We think you need these skills to ace Software Engineer – Risk 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 Quberesearchandtechnologies.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Quberesearchandtechnologies 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 Quberesearchandtechnologies
✨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 Quberesearchandtechnologies 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.
