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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: Full training in Quantitative Finance, competitive salary, and career growth opportunities.
- Why this job: Make an impact in finance by developing scalable solutions using cutting-edge technology.
- Qualifications: Strong Python skills and experience with Linux, Docker, and SDLC tooling required.
- Other info: Collaborative environment with opportunities to work alongside Quantitative Researchers and Portfolio Managers.
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 Slough employer: Winston Fox
Contact Detail:
Winston Fox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quantitative Developer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with projects that highlight your Python prowess and Docker skills. It’s a great way to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of SDLC. Practice common algorithms and system design questions to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter, and it gives you a better chance to stand out.
We think you need these skills to ace Python Quantitative Developer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with Linux, Docker, and SQL. We want to see how your background fits the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since we’re looking for someone with strong technical expertise, make sure to include specific examples of your work with Python and any SDLC tooling. We want to see your problem-solving skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
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 prepared 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/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 and continuous integration/delivery systems like GitLab CI/CD. Be ready to share examples of how you've implemented these practices in past projects, as this shows you understand the importance of efficient software development.
✨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 prepared to discuss how your technical skills can contribute to their investment strategies.
