At a Glance
- Tasks: Develop and support quantitative models for financial derivatives across various asset classes.
- Company: Join ICE, a leader in global financial markets with a focus on innovation.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Why this job: Make an impact in finance by working on cutting-edge quantitative research and development.
- Qualifications: MSc or PhD in relevant fields and strong programming skills in C++ and Python.
- Other info: Collaborative environment with diverse teams and opportunities to present to senior stakeholders.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Quantitative Analyst role at ICE.
Job Purpose
The successful candidate will join ICE's Global Quantitative Research team, which develops and supports enterprise-level quantitative models and systems. This role focuses on research and development of models for ICE Data Services and Clearing Houses, with direct exposure to interest rate, equity, credit, and commodity derivatives.
Job Description
The position requires strong quantitative finance expertise, programming proficiency, and mathematical rigor. Effective communication across multidisciplinary teams is essential.
- Build models to price ETD and complex derivatives across all asset classes.
- Model volatility surface dynamics for liquid and illiquid assets.
- Drive clearing house margin, stress and collateral management models R&D.
- Contribute strongly to "handsāon" and adāhoc requests for development and solutions in timeācritical situations.
- Interact with risk departments to provide support for existing clearing house quantitative models.
- Contribute to the core quantitative library used by the organization.
Knowledge and Experience
- MSc or PhD in Mathematics, Physics, Quantitative Finance, Statistics, or a related field.
- Strong foundation in financial derivatives pricing and risk management.
- Proficiency in C++ and Python.
- Solid understanding of statistics, especially time series analysis.
- Experience working under pressure and meeting tight deadlines.
- Ability to work independently and collaboratively within diverse teams.
- Skilled in presenting complex concepts to senior stakeholders.
Preferred Knowledge and Experience
- Advanced C++ expertise.
- Experience in options pricing theory.
- Background in data analytics.
Seniority level: Not Applicable
Employment type: Fullātime
Job function: Research, Analyst, and Information Technology
Quantitative Analyst in London employer: ICE
Contact Detail:
ICE Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Quantitative Analyst in London
āØTip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at ICE. A friendly chat can sometimes lead to opportunities that arenāt even advertised.
āØTip Number 2
Show off your skills! Prepare a portfolio of your quantitative models or projects you've worked on. When you get the chance to chat with hiring managers, having tangible examples can really set you apart.
āØTip Number 3
Practice your pitch! Be ready to explain complex concepts in simple terms. This is key when you're talking to multidisciplinary teams or senior stakeholders who might not be as deep into the technical details.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Quantitative Analyst in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV highlights your quantitative finance expertise and programming skills. We want to see how your background aligns with the role, so donāt be shy about showcasing relevant projects or experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youāre passionate about quantitative analysis and how your skills can contribute to our team at ICE. Keep it concise but impactful!
Showcase Your Technical Skills: Since this role requires proficiency in C++ and Python, make sure to mention any relevant projects or experiences where youāve used these languages. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, itās super easy!
How to prepare for a job interview at ICE
āØKnow Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge, especially around derivatives pricing and risk management. Be ready to discuss specific models you've worked on and how they apply to the role at ICE.
āØShow Off Your Programming Skills
Since proficiency in C++ and Python is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to financial modelling before the interview.
āØCommunicate Clearly
Effective communication is crucial, especially when explaining complex concepts to non-technical stakeholders. Practice summarising your past projects and findings in simple terms to showcase your ability to bridge the gap between technical and non-technical teams.
āØPrepare for Pressure
Given the fast-paced nature of the role, be ready to discuss how you've handled tight deadlines and high-pressure situations in the past. Share specific examples that highlight your problem-solving skills and ability to deliver under stress.