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For Companies At a Glance
- Tasks: Drive quantitative model initiatives and develop data-driven solutions across multiple asset classes.
- Company: Join a leading financial institution with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional development, and opportunities for impactful work.
- Why this job: Make a real difference in risk management and quantitative finance while working with cutting-edge technology.
- Qualifications: Advanced degree in a quantitative field and strong programming skills in Python and SQL.
- Other info: Dynamic environment with opportunities for growth and collaboration with senior management.
The predicted salary is between 36000 - 60000 £ per year.
The Quantitative Analyst will join the Global Quantitative Research Group, which designs, implements, and supports enterprise quantitative models and systems. This role blends quantitative research and data science, focusing on model development, risk analytics, and large-scale data engineering. The primary responsibility is to drive quantitative model initiatives for clearing houses while supporting data-driven solutions across multiple business lines. The candidate must demonstrate strong quantitative and programming skills, deep understanding of financial derivatives, and the ability to manage complex data workflows. Frequent interaction with Risk Management, Technology, and Senior Management is expected.
Responsibilities
- Lead research and development of margin, stress testing, and risk management models for clearing houses.
- Perform quantitative risk analysis and develop solutions across multiple asset classes (interest rate, equity, credit, and commodity derivatives).
- Conduct data exploration, statistical analysis, and time series modeling to support quantitative research.
- Build production-quality, data-driven software solutions for model implementation and analytics.
- Develop ETL pipelines and data management tools to ensure reliability, efficiency, and quality of large-scale financial datasets.
- Diagnose and resolve data issues; recommend improvements to data architecture and governance.
- Define business requirements and specifications for model enhancements and data workflows.
- Develop and maintain in-house quantitative research platforms and analytics tools.
- Document and present methodologies, findings, and risk models to stakeholders including regulators, risk committees, and senior management.
- Collaborate with technology teams for production implementation and integration of models and data systems.
- Engage in innovative research in quantitative finance, advanced statistical techniques, and data science.
Knowledge and Experience
- Advanced degree (MSc or PhD) in Mathematics, Statistics, Physics, Quantitative Finance, Data Science, or a related field.
- Experience in quantitative finance or data science within financial institutions preferred, with proven record in model development or implementation.
- Strong programming skills in Python and SQL; experience with R, MATLAB, C++ or Java preferred.
- Working knowledge of relational databases (Oracle, Postgres, Snowflake) and version control tools (Git).
- Solid understanding of statistics, time series analysis, and financial derivatives pricing and risk management.
- Ability to work under pressure in a high-performance environment with tight deadlines.
- Excellent analytical, organizational, and communication skills; capable of articulating complex concepts to diverse audiences.
- Customer-focused, results-oriented, and highly detail-oriented.
Analyst, Quantitative Research in London employer: ICE Clear Europe Limited
Contact Detail:
ICE Clear Europe Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst, Quantitative Research in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative finance space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models, data analyses, or any relevant projects. This gives us a tangible way to see what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your programming skills and be ready to tackle technical questions. We recommend practicing coding challenges and discussing your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Analyst, Quantitative Research in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analyst role. Highlight your quantitative skills, programming experience, and any relevant projects or research you've done. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your programming skills in Python and SQL, as well as any experience with data management tools. We’re keen on seeing how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at ICE Clear Europe Limited
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge, especially around financial derivatives and risk management. Be ready to discuss specific models you've worked on and how they apply to the role.
✨Show Off Your Programming Skills
Since strong programming skills in Python and SQL are crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis and model implementation.
✨Understand the Business Context
Familiarise yourself with the company’s business lines and how quantitative models impact them. This will help you articulate how your work can drive value and support decision-making across different areas.
✨Communicate Clearly
You’ll need to present complex concepts to various stakeholders, so practice explaining your methodologies and findings in simple terms. Use examples from your past experiences to illustrate your points effectively.
