At a Glance
- Tasks: Conduct quantitative research to develop financial models and identify investment opportunities.
- Company: Join a top-10 global Sovereign Wealth Fund with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on advanced statistical analysis.
- Why this job: Make a real impact in finance using cutting-edge quantitative techniques.
- Qualifications: 10+ years in Quantitative Research with strong programming skills in Python.
The predicted salary is between 72000 - 108000 £ per year.
Our client, a global top-10 Sovereign Wealth Fund, is looking to hire a Quantitative Researcher into their Factor & Index Equities team.
Responsibilities:
- Conduct quantitative research and analysis to develop financial models and identify investment opportunities.
- Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment strategies.
- Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports.
- Develop and enhance financial models, back tests and research tools to support the team’s investment process.
- Partner with technology teams to improve data pipelines, research infrastructure and modelling frameworks.
Requirements:
- 10+ years of experience in Quantitative Research, ideally within Tier 1 Investment Banks, Global Asset Managers, Sovereign Wealth Funds, or other institutional investors.
- Deep expertise in factor investing, systematic equity strategies, and quantitative portfolio construction, with exposure to machine-learning techniques for signal generation and alpha research.
- Strong programming skills in Python with the ability to write production-quality research code.
- Experience building or maintaining factor libraries, signal research platforms or systematic equity models.
- Strong statistical and econometric skills, with hands-on experience working with large datasets.
- Master’s or PhD in a quantitative discipline (e.g., Financial Engineering, Mathematics, Statistics, Computer Science, Physics) preferred.
Quantitative Researcher, Factor & Index Equities, Sovereign Wealth Fund - Role based in GCC in City of London employer: Delta Executive Search
As a leading global Sovereign Wealth Fund, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from exceptional growth opportunities, competitive compensation, and the chance to work alongside some of the brightest minds in finance, all while being based in the vibrant GCC region, known for its rich cultural diversity and economic dynamism.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher, Factor & Index Equities, Sovereign Wealth Fund - Role based in GCC in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative research space. Use platforms like LinkedIn to connect with people who work at Sovereign Wealth Funds or similar institutions. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative research projects, financial models, and any relevant coding work in Python. This is your chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Ace the interview! Brush up on your statistical analysis and factor investing knowledge. Be ready to discuss your past experiences and how they relate to the role. Practise common interview questions and prepare some insightful questions of your own.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Don’t miss out on the chance to join a top-tier team – we’re excited to see what you bring to the table!
We think you need these skills to ace Quantitative Researcher, Factor & Index Equities, Sovereign Wealth Fund - Role based in GCC in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Quantitative Researcher. Highlight your experience in quantitative research, especially in factor investing and systematic equity strategies. We want to see how your skills align with what we're looking for!
Showcase Your Skills:Don’t just list your programming skills; show us what you can do! Include examples of your Python projects or any financial models you've developed. This will help us understand your hands-on experience and technical prowess.
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 background makes you a perfect fit for our team. We love seeing enthusiasm and a clear connection to the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Delta Executive Search
✨Know Your Numbers
As a Quantitative Researcher, you’ll need to demonstrate your expertise in statistical analysis and financial modelling. Brush up on key concepts and be ready to discuss specific examples of how you've applied these skills in previous roles. Prepare to explain your thought process behind the models you've developed.
✨Showcase Your Programming Skills
Since strong programming skills in Python are essential for this role, make sure you can talk about your coding experience confidently. Bring along examples of production-quality research code you've written, and be prepared to discuss any challenges you faced and how you overcame them.
✨Understand Factor Investing
Dive deep into factor investing and systematic equity strategies before your interview. Be ready to discuss recent trends in the market and how they relate to your research. This will show that you’re not just knowledgeable but also passionate about the field.
✨Collaborate with Technology Teams
Highlight any experience you have working with technology teams to improve data pipelines or research infrastructure. Discuss how collaboration has enhanced your research outcomes in the past, as this role requires strong partnership skills to support the investment process.
