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- Tasks: Join a team to design and implement a central platform for Backtesting, Pricing, and Risk.
- Company: A leading London-based Quantitative Hedge Fund with a focus on innovation.
- Benefits: Comprehensive training in Quantitative Finance and competitive salary.
- Why this job: Make an impact in finance while working with cutting-edge technology and talented professionals.
- Qualifications: Strong Python skills and experience with Linux, Docker, and SDLC tooling required.
- Other info: Exciting opportunity for career growth in a dynamic and collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Technical Quantitative Developer / Software Engineer with deep Computer Science expertise applied to Python, its libraries and ecosystem as well as professional experience with SDLC tooling, Linux, Docker, and SQL sought to join a specialist London Headquartered Quantitative Hedge Fund. You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment teams. Finance experience is not an essential criterion.
This new, core team collaborates with Quantitative Researchers and Portfolio Managers to design and implement scalable solutions, addressing complex business needs, in particular delivering and maintaining critical components of the Investment Infrastructure, such as the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks, to be used by diverse Investment teams as part of their daily work. The target architecture will be written in pure Python, with SQL RDBMS, a Dockerised On-Prem RedHat Linux platform.
Essential Skills & Experience:
- Undergraduate degree in Computer Science, Computing, Software Engineering or similar with top grades from a reputable institution. MSc or possibly PhD level academics in said subject(s) preferred.
- Strong Python skills, with 3+ years of professional experience in a technically and/or scientifically complex and competitive environment.
- Proficiency in Linux and Docker including system administration and containerization for deployment and scaling.
- Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices.
- Knowledge of SQL for database management and query optimization.
This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.
Python Quantitative Developer in London employer: Winston Fox
Contact Detail:
Winston Fox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quantitative Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work with Python and quantitative development. Use platforms like LinkedIn to connect and engage with professionals; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to finance or data analysis. This gives potential employers a taste of what you can do and demonstrates your hands-on experience with SDLC tooling.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects, particularly how you've tackled complex problems in a team setting. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your talents. Plus, it shows us you’re genuinely interested in joining our team at the forefront of quantitative finance.
We think you need these skills to ace Python Quantitative Developer in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in real-world scenarios, so share specific projects or experiences that showcase your skills.
Get Technical with Your Experience: Don’t shy away from detailing your experience with Linux, Docker, and SDLC tooling. We’re looking for candidates who can demonstrate their hands-on experience, so be specific about the tools and technologies you’ve worked with.
Tailor Your Application: Take a moment to tailor your application to our job description. We love seeing candidates who understand what we do and how they can contribute, so make sure to connect your background to our needs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Winston Fox
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python libraries and frameworks, and maybe even solve a coding challenge on the spot. Practising common algorithms and data structures in Python can really help you shine.
✨Familiarise Yourself with Linux and Docker
Since the role involves working in a Linux and Docker environment, it’s crucial to demonstrate your proficiency. Brush up on basic commands, system administration tasks, and how to create and manage Docker containers. Being able to talk about your hands-on experience will set you apart.
✨Understand the SDLC and CI/CD Processes
Get comfortable discussing the Software Development Life Cycle (SDLC) and continuous integration/continuous delivery (CI/CD) practices. Be prepared to share examples of how you've implemented these processes in past projects, especially using tools like GitLab CI/CD or Jenkins.
✨Show Enthusiasm for Quantitative Finance
Even if you don’t have direct finance experience, showing a genuine interest in quantitative finance and systematic investing can go a long way. Do some research on the company and the role, and be ready to discuss how your technical skills can contribute to their investment infrastructure.
