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- Tasks: Design and implement Python services for structured product modelling and enhance Pricing APIs.
- Company: Join emagine, a leading consultancy in financial technology with a culture of integrity.
- Benefits: Competitive salary, supportive work environment, and opportunities for professional growth.
- Why this job: Make a real impact in finance by bridging business needs with innovative tech solutions.
- Qualifications: Strong Python skills and experience in Equity Structured Notes or financial technology.
- Other info: Collaborative team atmosphere with a focus on personal and professional development.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Python Developer to join our equities technology team aims to enhance its Equity Structured Notes platform by improving Pricing and Booking API capabilities. This role is critical for bridging business needs with technical solutions.
About the company emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine.
Responsibilities
- Design and implement Python-based services for structured product modelling.
- Develop and enhance Pricing and Booking APIs for Equity Structured Notes.
- Implement structured product models, focusing on payoffs and life cycle events.
- Integrate services with upstream trading systems and downstream platforms.
- Collaborate closely with trading, structuring, and quantitative teams.
- Support ongoing enhancements and functional build-out of the platform.
Qualifications / Requirements
- Strong Python development skills.
- Experience with Equity Structured Notes domain.
- Experience with designing APIs.
- Background in trading systems or financial technology.
Nice to Have
- Familiarity with regulatory compliance in financial systems.
- Knowledge of scalable system design.
- Experience with downstream risk and valuation platforms.
Python Developer - Equity Structured Products (h/f) in City of Westminster employer: Emagine Consulting
Contact Detail:
Emagine Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Equity Structured Products (h/f) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work with Equity Structured Products. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially any related to financial tech or API design. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of structured products and trading systems. We recommend practising common technical questions and scenarios you might face, so you can impress them with your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Developer - Equity Structured Products (h/f) in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development skills and experience with Equity Structured Notes. We want to see how your background aligns with 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 passionate about this role and how you can bridge business needs with technical solutions. Let us know what excites you about working with our equities technology team.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in Python development or API design. We love seeing how you approach problems and come up with innovative solutions, especially in the financial tech space!
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 us you’re keen on joining our team!
How to prepare for a job interview at Emagine Consulting
✨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 development, especially in relation to structured products. Practise coding challenges that focus on API design and implementation, as these are likely to come up.
✨Understand Equity Structured Notes
Familiarise yourself with the specifics of Equity Structured Notes and their life cycle events. Being able to speak knowledgeably about this domain will show that you’re not just a coder but someone who understands the business needs behind the technology.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of trading systems. Prepare to explain how you would approach designing APIs and integrating services with trading platforms. Use examples from your past experiences to illustrate your points.
✨Show Your Collaborative Spirit
Since the role involves working closely with trading, structuring, and quantitative teams, be ready to discuss your teamwork experiences. Highlight instances where you’ve successfully collaborated on projects, and demonstrate your ability to communicate effectively with non-technical stakeholders.
