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- Tasks: Lead the design and implementation of advanced quantitative models for pricing and risk management.
- Company: Join ICE, a leader in global financial markets, driving innovation in quantitative research.
- Benefits: Enjoy a full-time role with opportunities for collaboration and mentorship in a dynamic environment.
- Why this job: Be at the forefront of quantitative research, making impactful contributions while working with cutting-edge technology.
- Qualifications: Master’s or PhD in a relevant field, with strong skills in C++, Python, and advanced mathematics.
- Other info: Ideal for those passionate about quantitative analysis and looking to make a difference in finance.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Lead Quantitative Analyst role at ICEJoin to apply for the Lead Quantitative Analyst role at ICEGet AI-powered advice on this job and more exclusive features.Job Purpose
Join ICE\’s Global Quantitative Research team to spearhead the design and implementation of advanced quantitative models for pricing, volatility surfaces, and risk management.Job Description
Job Purpose
Join ICE\’s Global Quantitative Research team to spearhead the design and implementation of advanced quantitative models for pricing, volatility surfaces, and risk management.
Leverage your strong background in stochastic calculus and probability theory to develop robust models, and translate them into efficient, production-grade C++ code integrated into our core quantitative library.
Collaborate across business lines, including Clearing, Exchange, and Data Services, while mentoring team members and driving innovation.
Responsibilities
Quantitative Research: Lead research efforts in advanced pricing, volatility, and risk models.Model Implementation: Translate sophisticated mathematical models into robust, production-level code—primarily in C++.Collaboration: Work across multiple business lines, ensuring models meet both research needs and operational demands.
Knowledge And Experience
Master\’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.Expertise in advanced mathematics (stochastic calculus, probability theory)Exceptional quantitative and analytical skills.Extensive experience in C++ and PythonStrong verbal and written communication skills in English.
Preferred
Work experience in options pricing theoryWork experience in Data Analytics and Machine Learning3 Years of experience in a related field.
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Lead Quantitative Analyst employer: ICE
Contact Detail:
ICE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Quantitative Analyst
✨Tip Number 1
Make sure to showcase your expertise in stochastic calculus and probability theory during networking events or discussions. This will help you connect with professionals in the field and demonstrate your knowledge, making you a more attractive candidate.
✨Tip Number 2
Engage with online communities and forums related to quantitative analysis and C++. Sharing your insights and asking questions can help you build a network of contacts who might refer you to opportunities at ICE.
✨Tip Number 3
Consider attending workshops or webinars focused on advanced pricing models and risk management. This not only enhances your skills but also allows you to meet industry experts who could provide valuable referrals.
✨Tip Number 4
If you have experience in machine learning or data analytics, be sure to highlight this in conversations with potential employers. These skills are increasingly relevant in quantitative roles and can set you apart from other candidates.
We think you need these skills to ace Lead Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in stochastic calculus, probability theory, and programming skills in C++ and Python. Use specific examples from your experience that demonstrate your quantitative and analytical skills.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and how your background aligns with the role at ICE. Mention any relevant projects or experiences that showcase your ability to lead research efforts and collaborate across teams.
Showcase Relevant Experience: If you have experience in options pricing theory, data analytics, or machine learning, be sure to include this in your application. Highlight any specific achievements or contributions you've made in these areas.
Proofread Your Application: Before submitting, carefully proofread your application materials for any grammatical errors or typos. A polished application reflects your attention to detail, which is crucial for a quantitative analyst role.
How to prepare for a job interview at ICE
✨Brush Up on Your Mathematics
Given the role's focus on advanced quantitative models, make sure to review key concepts in stochastic calculus and probability theory. Be prepared to discuss how you've applied these concepts in previous projects.
✨Showcase Your Coding Skills
Since the position requires translating mathematical models into C++ code, be ready to demonstrate your coding proficiency. Consider preparing a small coding exercise or discussing past projects where you implemented complex algorithms.
✨Prepare for Collaborative Questions
Collaboration is key in this role, so expect questions about teamwork and cross-functional projects. Think of examples where you've successfully worked with different teams and how you contributed to achieving common goals.
✨Communicate Clearly
Strong verbal and written communication skills are essential. Practice explaining complex quantitative concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders during the interview.
