At a Glance
- Tasks: Join our team to design innovative financial solutions and tackle market challenges.
- Company: Intercontinental Exchange is a Fortune 500 leader in global financial markets and data services.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and cutting-edge technology.
- Why this job: Be part of a collaborative team that values creativity and innovation in finance.
- Qualifications: Degree in math, physics, finance or similar; strong C++ skills required.
- Other info: Experience with FX or Equities is essential; familiarity with AI and ML is a plus.
The predicted salary is between 48000 - 72000 £ per year.
Intercontinental Exchange (NYSE:ICE) is a Fortune 500 company that operates a leading network of global futures, equity and equity options exchanges, as well as global clearing and data services across financial and commodity markets. By putting the needs of our customers and global participants first, we are a high-growth company that started by bringing transparency and risk management to the global derivatives markets. We're engineers, strategists and problem-solvers who continually create and improve technology that solves market structure challenges on behalf of the industry.
The ICE Data Derivatives business provides market data, valuation, and analytics services across all OTC derivative asset classes to a global customer base. The candidate will join the Financial Engineer team that research, implements, prototypes, and supports enterprise pricing and risk systems. The primary role for this position will be to deliver innovative enterprise financial solutions in a peer reviewed environment to analyze daily and real-time market information, generate robust pricing models, and deliver industry leading risk systems for exchange traded and over-the-counter markets.
Responsibilities:
- Research and design innovative quantitative solutions tailored for OTC derivatives and exchanged traded options.
- Explore and leverage cutting-edge Artificial Intelligence and Machine Learning techniques for quantitative modeling purposes.
- Design and deploy pricing models and calibration tools for a spectrum of derivatives including Interest Rate, Equity, FX, and Commodity derivatives.
- Furnish comprehensive analysis and documentation elucidating methodologies, techniques, and discoveries.
- Investigate and manage large data sets.
- Explain model behavior, carry out scenario analysis, provide guidance and analytics.
Knowledge and Experience:
- Extensive experience in a quantitative field.
- Creative, innovative, and passionate about quantitative research and modeling.
- Hard worker and team player, highly self-motivated in learning and applying new techniques.
- Ability to solve real world business problems using quantitative and computational techniques.
- Ability to implement algorithms in multiple computing environments and languages.
- Strong oral communication and documentation skills.
- Strong C++ programming skills required.
- Experience working with FX or Equities required.
- Degree or above in math, physics, finance or similar quantitative fields required.
- Strong understanding of financial markets, options, and asset pricing and modeling preferred.
- Additional work experience in financial industry using C#, EXCEL, Python, MATLAB advantageous.
Senior Financial Engineer - Intercontinental Exchange employer: Intercontinental Exchange
Contact Detail:
Intercontinental Exchange Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Financial Engineer - Intercontinental Exchange
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance, especially focusing on OTC derivatives and exchange-traded options. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your C++ programming skills, as they are crucial for this role. Consider working on personal projects or contributing to open-source projects that involve financial modelling to showcase your abilities.
✨Tip Number 3
Network with professionals in the financial engineering space, particularly those who work with ICE or similar companies. Attend industry conferences or webinars to make connections and gain insights into what they look for in candidates.
✨Tip Number 4
Prepare to discuss your experience with AI and machine learning techniques in quantitative modelling. Be ready to provide examples of how you've applied these technologies in past projects or research.
We think you need these skills to ace Senior Financial Engineer - Intercontinental Exchange
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in quantitative fields, particularly focusing on your skills in C++ programming and any relevant work with FX or Equities. Use specific examples to demonstrate your problem-solving abilities and innovative approaches.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and modeling. Mention how your background aligns with the responsibilities of the Senior Financial Engineer role, particularly your experience with AI and Machine Learning techniques.
Showcase Relevant Projects: If you have worked on projects involving pricing models or risk systems, be sure to include these in your application. Provide details about the methodologies you used and the outcomes achieved, as this will demonstrate your capability to deliver innovative financial solutions.
Prepare for Technical Questions: Anticipate technical questions related to quantitative analysis and programming during the interview process. Brush up on your knowledge of financial markets, options, and asset pricing to confidently discuss your expertise and experiences.
How to prepare for a job interview at Intercontinental Exchange
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience in quantitative fields. Highlight specific projects where you've applied quantitative research and modelling techniques, especially those relevant to OTC derivatives and exchange-traded options.
✨Demonstrate Your Programming Proficiency
Since strong C++ skills are a must, be ready to talk about your programming experience. You might even want to prepare for some coding challenges or technical questions that test your ability to implement algorithms in various environments.
✨Discuss AI and Machine Learning Applications
Given the emphasis on leveraging AI and machine learning, think of examples where you've used these technologies in quantitative modelling. Be ready to explain how you approached these projects and the impact they had.
✨Prepare for Scenario Analysis Questions
Expect questions that require you to explain model behaviour and conduct scenario analysis. Brush up on your analytical skills and be ready to provide insights into how you would approach real-world business problems using quantitative techniques.