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For Companies At a Glance
- Tasks: Drive quantitative model initiatives and develop data-driven solutions across multiple business lines.
- Company: Join a leading financial institution with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Why this job: Make an impact in quantitative finance while working with cutting-edge technology and data science.
- Qualifications: Advanced degree in a quantitative field and strong programming skills in Python and SQL.
- Other info: Dynamic work environment with opportunities to engage in innovative research.
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: ICE
Contact Detail:
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 personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models, data analyses, or any relevant projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and any statistical techniques you've used. We recommend practicing common interview questions related to quantitative analysis and risk management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 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 our needs!
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 prowess in Python and SQL, along with any other languages you know. If you've worked on data management or model development, let us know! We’re keen on seeing your technical side.
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at 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 analysis.
✨Showcase Your Programming Prowess
Make sure you can demonstrate your programming skills in Python and SQL. Bring examples of projects where you've built data-driven solutions or ETL pipelines, and be ready to talk about the challenges you faced and how you overcame them.
✨Understand the Business
Familiarise yourself with the financial derivatives relevant to the role. Understand how your work as a Quantitative Analyst will impact risk management and decision-making within the company, and be ready to discuss how you can contribute to their goals.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You'll need to present your findings to various stakeholders, so being able to articulate your methodologies and results clearly is crucial. Think of examples where you've successfully communicated technical information to non-technical audiences.
