At a Glance
- Tasks: Develop and maintain risk systems using C# and Python, providing insights to trading teams.
- Company: Join an innovative team in a dynamic financial environment.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Work with a diverse team and enjoy excellent career advancement opportunities.
- Why this job: Lead exciting projects and make a real impact in the finance sector.
- Qualifications: 7+ years in software development with strong skills in C# and Python.
The predicted salary is between 43200 - 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.
Requirements:- 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.
- Strong communication skills.
- 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.
- Familiarity with JavaScript.
- Messaging technologies such as Kafka or RabbitMQ.
Quantitative Developer (C#/Python) in London employer: QuanTech Partners
Join a forward-thinking company that values innovation and collaboration, where as a Quantitative Developer, you will play a pivotal role in shaping risk systems that drive our trading strategies. Our inclusive work culture fosters continuous learning and professional growth, offering you the chance to lead exciting greenfield projects while working alongside a diverse team of experts in finance and technology. Located in a vibrant city, we provide competitive benefits and a dynamic environment that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer (C#/Python) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to quantitative development. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C# and Python. 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. Practice coding challenges and be ready to discuss your experience with SQL databases and full software lifecycle. Confidence is key!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our innovative team. Tailor your application to highlight your experience with risk systems and your collaborative spirit.
We think you need these skills to ace Quantitative Developer (C#/Python) in London
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 in software development makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in past roles. We love seeing analytical thinking in action, especially when it comes to developing innovative solutions in a fast-paced environment.
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 shows you’re keen on joining our awesome team!
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 your previous roles. Highlight your analytical abilities and how you've used them to improve systems or processes, especially in a production environment.
✨Understand the Financial Context
Even if finance experience isn't strictly required, having a grasp of financial markets, particularly fixed income, will set you apart. Familiarise yourself with key concepts like P&L and Value-at-Risk, so you can speak confidently about how your work impacts trading teams.
✨Be Ready for Collaboration
This role involves working closely with quantitative researchers and risk managers. Prepare to discuss how you've successfully collaborated in diverse teams before, and be ready to share your communication strategies that help bridge technical and non-technical discussions.
