Quantitative Engineer - AI & Derivatives in London
Quantitative Engineer - AI & Derivatives

Quantitative Engineer - AI & Derivatives in London

London Full-Time 60000 - 80000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design AI-driven tools for market data and enhance risk management with advanced analytics.
  • Company: Join a Fortune 500 leader in global financial markets and technology innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on innovation and excellence.
  • Why this job: Make an impact in finance by applying cutting-edge AI to real-world challenges.
  • Qualifications: Strong background in quantitative finance and AI technologies.

The predicted salary is between 60000 - 80000 ÂŁ 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.

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 AI techniques to enhance risk management capabilities, including significant acceleration of Value‑at‑Risk (VaR) and XVA computations.
  • Research & Documentation: Produce rigorous analysis and comprehensive documentation of AI methodologies, model architectures, and research findings to support transparency and knowledge.

Quantitative Engineer - AI & Derivatives in London employer: Intercontinental Exchange (ICE)

Intercontinental Exchange (ICE) is an exceptional employer that champions innovation and growth within the financial sector. With a strong focus on employee development, ICE offers a collaborative work culture where engineers and strategists thrive on tackling complex challenges using cutting-edge AI technologies. Located in a dynamic market environment, employees benefit from access to world-class resources and opportunities to contribute to pioneering advancements in derivatives markets.
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Contact Detail:

Intercontinental Exchange (ICE) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Engineer - AI & Derivatives in London

✨Tip Number 1

Network like a pro! Reach out to professionals in the finance and tech sectors, especially those working with AI and derivatives. Attend industry events or webinars to make connections that could lead to job opportunities.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to quantitative finance and AI. This could be anything from coding samples to case studies on how you've tackled complex problems in the past.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with neural networks and risk analytics, as these are key areas for the role.

✨Tip Number 4

Don't forget to apply through our website! We love seeing candidates who take the initiative to engage directly with us. It shows you're genuinely interested in being part of our innovative team.

We think you need these skills to ace Quantitative Engineer - AI & Derivatives in London

Quantitative Finance Expertise
Artificial Intelligence
Deep Neural Networks
Large Language Models (LLM)
Market Data Analysis
Risk Management
Value-at-Risk (VaR) Computation
XVA Computation
Natural Language Processing
Exotic Derivatives Pricing
Computational Performance Optimisation
Research and Documentation Skills
Analytical Thinking
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Engineer. Highlight your experience with AI, neural networks, and any relevant financial engineering projects. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and derivatives. Share specific examples of your work that demonstrate your problem-solving skills and innovative thinking.

Showcase Your Technical Skills: Don’t forget to include your technical skills in your application. Mention any programming languages, tools, or frameworks you’re proficient in, especially those related to AI and quantitative finance. We love seeing candidates who are technically savvy!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Intercontinental Exchange (ICE)

✨Know Your Quantitative Finance

Brush up on your quantitative finance concepts, especially those related to derivatives. Be prepared to discuss how you would apply Deep Neural Networks and AI in pricing models. Show them you understand the complexities of the market and can think critically about financial problems.

✨Showcase Your AI Skills

Be ready to dive into your experience with AI technologies, particularly in relation to neural networks and large language models. Prepare examples of past projects where you've successfully implemented these technologies, and be clear about the impact they had on performance and efficiency.

✨Prepare for Technical Questions

Expect technical questions that test your problem-solving skills and understanding of risk analytics. Practice explaining your thought process clearly and concisely. Use real-world scenarios to demonstrate how you would approach complex calculations like Value-at-Risk (VaR).

✨Research the Company Culture

Understand the values and mission of Intercontinental Exchange. They prioritise customer needs and innovation, so think about how your personal values align with theirs. Be ready to discuss how you can contribute to their goal of pioneering transparency and risk management in the derivatives market.

Quantitative Engineer - AI & Derivatives in London
Intercontinental Exchange (ICE)
Location: London

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