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- Tasks: Develop and maintain risk systems using C# and Python, providing insights to trading teams.
- Company: Join a leading investment management firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Other info: Dynamic team environment with exposure to cutting-edge technologies and financial markets.
- Why this job: Lead exciting projects from scratch and make a real impact in the finance sector.
- Qualifications: 7+ years in software development, strong skills in C# and Python, and solid maths knowledge.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for a talented senior full stack developer with experience in building risk systems and databases. In this role, you will be responsible for the development, maintenance, and support of critical risk systems that calculate P&L, Value-at-Risk, Scenarios and Risk exposures across our portfolios. You will be joining an innovative team and will be a key contributor to our suite of reporting and analysis tools, which provide insights to risk and trading teams through Python, Excel, and web-based platforms.
You will operate within a highly collaborative environment with a diverse team of quantitative researchers, risk managers, and traders. This position offers a unique opportunity to lead greenfield projects, designing and implementing new systems and tools from the ground up. The technology stack within our team is primarily C# and Python backends, SQL databases, RabbitMQ, REST, React and Excel UI. Exposure to C++ is beneficial as interaction with the quant library is usual.
A degree in Computer Science, Engineering, Finance, Mathematics, or a related quantitative field is required. Solid Maths or science knowledge is essential.
- 7+ years developing software commercially.
- Experience in finance is advantageous but not strictly required.
- Excellent command of C# and Python.
- SQL database design and integration.
- Full software lifecycle expertise.
- Experience of working in a production environment.
- Top analytical and problem-solving abilities.
- Ability to operate in a rapidly evolving environment.
- Financial markets knowledge, in particular fixed income.
- Exposure to interacting with C++ libraries.
- Messaging technologies such as Kafka or RabbitMQ.
Quantitative Developer (C#/Python) in England employer: QuanTech Partners
Contact Detail:
QuanTech Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer (C#/Python) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups, webinars, or industry events where you can chat with folks who might know about openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C#, Python, and SQL. This is your chance to demonstrate your expertise in building risk systems and databases, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with full software lifecycles and how you've tackled challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quantitative Developer (C#/Python) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C# and Python, as well as any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk systems and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems or led projects. We’re looking for analytical thinkers who can thrive in a fast-paced environment, so let us know how you’ve made an impact in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at QuanTech Partners
✨Know Your Tech Stack
Make sure you’re well-versed in C# and Python, as these are crucial for the role. Brush up on SQL database design and integration too, since you'll need to demonstrate your understanding of how these technologies work together in a risk system.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in a production environment. Highlight your analytical abilities and how you've used them to improve systems or processes, especially in finance-related projects.
✨Understand the Financial Context
Even if you don’t have extensive finance experience, it’s important to show that you understand the basics of financial markets, particularly fixed income. Familiarise yourself with key concepts like P&L and Value-at-Risk to impress your interviewers.
✨Be Ready for Collaboration Questions
Since this role involves working closely with quantitative researchers and traders, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in diverse teams and contributed to greenfield projects.