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- Tasks: Design AI-driven tools and implement advanced pricing models for derivatives markets.
- Company: Join a Fortune 500 leader in global financial markets and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on solving complex market challenges.
- Why this job: Make an impact with cutting-edge AI technology in the finance sector.
- Qualifications: Strong background in quantitative finance and AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
Intercontinental Exchange (NYSE:ICE) is a Fortune 500 company operating a leading network of global futures, equity, and equity options exchanges, alongside world-class clearing and data services spanning financial and commodity markets. We place the needs of our customers and global market participants at the forefront of everything we do. As a high-growth organisation, we pioneered transparency and risk management in global derivatives markets. Our team comprises engineers, strategists, and problem-solvers who continuously innovate technology solutions to address complex market structure challenges.
About the Role
The ICE Data Derivatives business provides market data, valuation, and analytics services across all OTC (over the counter) derivative asset classes to a global customer base. We are seeking an exceptional Financial Engineer to join our Pricing and Analytics team, a group dedicated to researching, implementing, and supporting enterprise-grade pricing and risk systems. This role requires a unique combination of quantitative finance expertise and cutting-edge AI capabilities, with particular emphasis on Deep Neural Networks and Large Language Models (LLM) applied to derivatives markets.
Key Responsibilities
- AI-Powered Market Access: Design and deploy AI-driven conversational agents that enable clients to interact with derivatives market data and analytics through natural language interfaces, democratizing access to complex financial information.
- Neural Network Pricing Models: Research and implement Deep Neural Network-based approximations for exotic derivatives pricing models across Interest Rate, Equity, FX (forex), and Commodity asset classes, delivering order-of-magnitude improvements in computational performance for large, complex portfolios.
- Next-Generation Risk Analytics: Leverage advanced analytics to enhance risk assessment and management strategies.
Financial Engineer - AI & Derivatives - Intercontinental Exchange in London employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Engineer - AI & Derivatives - Intercontinental Exchange in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial engineering field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and derivatives. We recommend including any relevant coding samples or case studies that highlight your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We suggest practising common interview questions related to financial engineering and AI applications to feel confident and ready.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals who are passionate about innovation in finance.
We think you need these skills to ace Financial Engineer - AI & Derivatives - Intercontinental Exchange in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Financial Engineer role. Highlight your quantitative finance skills and any experience with AI technologies, especially in relation to derivatives markets. We want to see how your background aligns with what we do at ICE!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about financial engineering and how your skills can contribute to our team. Be sure to mention specific projects or experiences that relate to AI and derivatives.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's through past projects or work experience, we love to see examples of your innovative thinking and technical prowess.
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, you’ll get to explore more about our company culture and values while you’re at it!
How to prepare for a job interview at eFinancialCareers
✨Know Your Numbers
Brush up on your quantitative finance knowledge, especially around derivatives and pricing models. Be prepared to discuss how you would apply Deep Neural Networks and AI in real-world scenarios. This shows you're not just familiar with the theory but can also think critically about practical applications.
✨Showcase Your Tech Skills
Since this role involves cutting-edge technology, make sure to highlight your experience with AI and machine learning frameworks. Bring examples of projects where you've implemented these technologies, particularly in financial contexts. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Understand the Market Landscape
Familiarise yourself with the current trends in the derivatives market and how companies like Intercontinental Exchange are innovating. Being able to discuss recent developments or challenges in the industry will show that you're engaged and knowledgeable, which is crucial for a role focused on market data and analytics.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about the team, the technology stack, and the company's vision for AI in finance. This not only shows your interest but also helps you gauge if the company aligns with your career goals.