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- Tasks: Lead innovative research and develop quantitative models for financial risk management.
- Company: Join a leading financial institution with a focus on cutting-edge quantitative research.
- Benefits: Competitive salary, professional development, and opportunities to work with top-tier technology.
- Why this job: Make a real impact in finance while working with advanced data science techniques.
- Qualifications: Advanced degree in a quantitative field and strong programming skills required.
- Other info: Dynamic team environment with excellent career growth potential.
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 employer: Intercontinental Exchange (ICE)
Contact Detail:
Intercontinental Exchange (ICE) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst, Quantitative Research
✨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 and data analysis projects. This is your chance to demonstrate your programming prowess and analytical skills, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Expect questions on financial derivatives, risk management, and programming challenges. We recommend practicing with mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analyst, Quantitative Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Analyst role. Highlight your quantitative research, programming skills, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative finance and how your background aligns with our needs. Be sure to mention specific experiences that demonstrate your ability to handle complex data workflows.
Showcase Your Technical Skills: Since this role requires strong programming skills, don’t forget to mention your proficiency in Python and SQL. If you have experience with other languages like R or MATLAB, include that too! We love seeing candidates who are technically savvy.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Intercontinental Exchange (ICE)
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models you've worked on. Be prepared to explain your thought process behind model development and how you approached risk analytics.
✨Showcase Your Programming Prowess
Make sure you can demonstrate your programming skills, especially in Python and SQL. Have examples ready where you've built data-driven solutions or ETL pipelines, as this will show your practical experience.
✨Understand the Business Context
Familiarise yourself with the financial derivatives relevant to the role. Being able to articulate how your work impacts risk management and decision-making will impress the interviewers.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You'll likely need to present methodologies and findings to various stakeholders, so being able to communicate effectively is key.
