AI-Driven Quantitative Engineer: Derivatives Pricing

AI-Driven Quantitative Engineer: Derivatives Pricing

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

  • Tasks: Implement AI-driven solutions for derivatives pricing and risk analytics.
  • Company: Join a leading financial organisation at the forefront of innovation.
  • Benefits: Competitive salary, professional development, and a dynamic work environment.
  • Other info: Opportunity to make a real impact in a collaborative team.
  • Why this job: Innovate with cutting-edge AI technology in the exciting world of finance.
  • Qualifications: Advanced degree and expertise in Machine Learning, C++, and financial markets.

The predicted salary is between 60000 - 80000 € per year.

Intercontinental Exchange (ICE) is seeking a Financial Engineer for its Pricing and Analytics team in Greater London. The role emphasizes implementing AI-driven solutions in the derivatives market, leveraging Deep Neural Networks to enhance pricing models and risk analytics.

Candidates should possess advanced degrees and expertise in Machine Learning, C++, and financial markets. This role offers a unique opportunity to innovate within a leading financial organization, integrating cutting-edge AI with finance.

AI-Driven Quantitative Engineer: Derivatives Pricing employer: Intercontinental Exchange (ICE)

Intercontinental Exchange (ICE) is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Employees benefit from comprehensive professional development opportunities, competitive compensation, and the chance to work with advanced AI technologies in the derivatives market, making it a rewarding environment for those passionate about finance and technology.

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Contact Detail:

Intercontinental Exchange (ICE) Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI-Driven Quantitative Engineer: Derivatives Pricing

Tip Number 1

Network like a pro! Reach out to professionals in the financial engineering space, especially those working with AI and derivatives. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to Machine Learning and financial models. This is your chance to demonstrate how you can apply your knowledge in real-world scenarios, making you stand out to potential employers.

Tip Number 3

Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with C++ and Deep Neural Networks, as well as how you've applied these in financial contexts. Practice common interview questions to boost your confidence!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team at ICE.

We think you need these skills to ace AI-Driven Quantitative Engineer: Derivatives Pricing

AI-driven Solutions
Deep Neural Networks
Derivatives Pricing
Risk Analytics
Machine Learning
C++
Financial Markets

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your expertise in Machine Learning and C++. We want to see how your skills can contribute to our AI-driven solutions in the derivatives market.

Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with the role. Mention specific projects or achievements that relate to pricing models and risk analytics.

Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your qualifications and experiences, making it easy for us to see why you’re a great fit for the team.

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 don’t miss out on any important updates from us!

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

Know Your AI and Finance

Make sure you brush up on your knowledge of AI-driven solutions and derivatives pricing. Be ready to discuss how Deep Neural Networks can enhance pricing models and risk analytics, as this will show your understanding of the role and its requirements.

Showcase Your Technical Skills

Prepare to demonstrate your expertise in C++ and Machine Learning during the interview. You might be asked to solve a technical problem or explain a project you've worked on, so have specific examples ready that highlight your skills and experience.

Understand the Company Culture

Research Intercontinental Exchange (ICE) and their approach to innovation in finance. Understanding their values and how they integrate AI with financial markets will help you align your answers with what they’re looking for in a candidate.

Ask Insightful Questions

Prepare thoughtful questions about the team, projects, and future developments in AI within the company. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you.