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For Companies At a Glance
- Tasks: Join a dynamic team to enhance risk models and develop cutting-edge APIs.
- Company: Be part of a fast-growing financial services firm revolutionising traditional and digital asset management.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant company culture.
- Why this job: Work on impactful projects in a collaborative environment with top-tier professionals.
- Qualifications: 5+ years in quant software development and strong Python skills required.
- Other info: Position available in London or NYC; EU work permit needed.
The predicted salary is between 43200 - 72000 £ per year.
Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class Python software engineers to help build on their success.
Responsibilities
Skills & Experience Required
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Quant Developer, Risk – London or NYC employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer, Risk – London or NYC
✨Tip Number 1
Network with professionals in the financial services sector, especially those working in quant development. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in risk modelling.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python and model-building pipelines. Consider contributing to open-source projects or building your own projects to showcase your skills.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures, particularly in Python. Websites like LeetCode or HackerRank can be great resources for this.
✨Tip Number 4
Stay updated on the latest developments in risk management and quantitative finance. Reading relevant research papers or following industry leaders on social media can give you insights that may come in handy during interviews.
We think you need these skills to ace Quant Developer, Risk – London or NYC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quant software development experience, particularly in Python. Emphasise any relevant projects or roles that demonstrate your ability to write production-grade code and work with risk models.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the responsibilities listed in the job description, such as improving research tools or developing APIs.
Showcase Relevant Skills: Clearly outline your technical skills, especially in Python and any experience with model-building pipelines. If you have worked on large-scale distributed systems, make sure to include that as well.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented professionally.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Python Skills
Since the role requires robust and maintainable Python code, be prepared to discuss your previous projects. Bring examples of your work that demonstrate your coding abilities and problem-solving skills.
✨Understand Risk Models
Familiarise yourself with risk models and their productionisation. Be ready to explain how you've contributed to similar projects in the past, focusing on your role in improving or maintaining these models.
✨Discuss Distributed Systems Experience
Highlight any experience you have with large-scale, distributed systems. Be specific about the technologies you've used and the challenges you've faced, as this will show your depth of knowledge in the field.
✨Prepare for Technical Questions
Expect technical questions related to quant software development. Brush up on relevant algorithms, data structures, and system design principles, as well as any specific tools or frameworks mentioned in the job description.
