At a Glance
- Tasks: Develop models and conduct risk analytics in a dynamic financial environment.
- Company: Join the innovative team at Intercontinental Exchange (ICE).
- Benefits: Competitive salary, professional growth, and exposure to cutting-edge finance.
- Other info: Engage with diverse stakeholders and lead innovative research initiatives.
- Why this job: Make an impact in quantitative finance and collaborate with industry experts.
- Qualifications: Advanced degree in a relevant field and strong programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Intercontinental Exchange (ICE) is looking for a Quantitative Analyst to join the Global Quantitative Research Group. This role focuses on model development and risk analytics, providing solutions across various business lines.
The ideal candidate will have strong programming and quantitative research skills, an advanced degree in a relevant field, and experience in financial institutions. You will lead model initiatives and engage with various stakeholders, aiming for innovative research in quantitative finance and data science.
Global Quant Research Analyst: Risk, Derivatives & Data in London employer: Intercontinental Exchange (ICE)
Intercontinental Exchange (ICE) is an exceptional employer that fosters a dynamic and innovative work culture, where quantitative research and data-driven solutions are at the forefront of our mission. Located in a vibrant financial hub, we offer competitive benefits, continuous professional development opportunities, and a collaborative environment that encourages creativity and growth. Join us to be part of a team that values your expertise and empowers you to make a meaningful impact in the world of finance.
Contact Details:
Intercontinental Exchange (ICE) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Global Quant Research Analyst: Risk, Derivatives & Data in London
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We think you need these skills to ace Global Quant Research Analyst: Risk, Derivatives & Data in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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