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- Tasks: Join our Systematic Equity team to innovate investment processes and execute research projects.
- Company: Be part of State Street Global Advisors, a leading global asset manager with decades of experience.
- Benefits: Work on a cutting-edge computing platform and explore innovative data techniques.
- Why this job: Make your mark in asset management and tackle real investment challenges from day one.
- Qualifications: Advanced degree in finance or quantitative discipline; 2+ years in quantitative finance required.
- Other info: Experience with machine learning and coding in Python, R, or SQL is a plus.
The predicted salary is between 43200 - 72000 £ per year.
This role is for a Quantitative Research Analyst in the Systematic Equity team. The role is based in London and reports to the Lead Research Supervisor of Systematic Equity.
Systematic Equity team manages a wide range of quantitative equity strategies over a broad active risk spectrum across global markets. The team has a deep history of delivering innovative risk-controlled alpha to our clients and we are looking for someone who can help shape the next phase of our growth with extraordinary analytical skills and passion for data science. You will have an opportunity to combine your analytical skills and investment insights with innovative data and modeling techniques on a cutting-edge distributed computing platform to solve investment problems.
Why this role is important to us
The team you will be joining is a part of State Street Global Advisors, one of the biggest asset managers in the world, that provides services to the world’s governments, institutions and financial advisors across the globe. With over four decades of experience and trillions of dollars in assets under management, we offer one of the broadest selections of services across asset classes, risk profiles, regions and styles. As pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest. Join us if making your mark in the asset management industry from day one is a challenge you are up for.
What you will be responsible for
Generate ideas for investment process innovation and improvements with key focus in alpha generation and portfolio construction.
Execute research projects including interpreting, presenting and implementing results.
Contribute to maintaining and improving our state-of-the-art computing platform for research and production models.
Explore and evaluate alternative data sources and machine learning techniques to solve investment problems better.
Advanced degree (PhD/MS or equivalent) in finance, economics or a quantitative discipline such as computer science, mathematics, statistics, physics or engineering.
Minimum 2 years of work experience in quantitative finance.
Deep knowledge of quantitative equity investments.
Great analytical skills with solid knowledge in statistics.
Strong problem solving capabilities with attention to details.
Excellent coding skills with experience in Python, R and/or SQL. Experience with distributed computing is a plus.
Strong working knowledge of theoretical and practical concepts in machine learning including natural language processing.
Experience working with a large amount of structured/unstructured data is a plus
Quantitative Research Analyst, Systematic Equity, Assistant Vice President, State Street Global Advisors employer: State Street
Contact Detail:
State Street Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Analyst, Systematic Equity, Assistant Vice President, State Street Global Advisors
✨Tip Number 1
Familiarize yourself with the latest trends in quantitative finance and systematic equity strategies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your analytical skills by working on personal projects or contributing to open-source projects that involve data science and machine learning. This practical experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the asset management industry, especially those who work in quantitative research. Attend relevant conferences or webinars to make connections and learn about potential job openings.
✨Tip Number 4
Prepare to discuss your coding skills in Python, R, and SQL during interviews. Be ready to provide examples of how you've used these languages to solve complex problems or analyze large datasets.
We think you need these skills to ace Quantitative Research Analyst, Systematic Equity, Assistant Vice President, State Street Global Advisors
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills, coding experience, and any relevant projects in quantitative finance. Emphasize your advanced degree and work experience, particularly in areas related to systematic equity and data science.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and investment insights. Discuss how your background aligns with the responsibilities of the role, particularly in generating ideas for investment process innovation and improving portfolio construction.
Showcase Technical Skills: Clearly outline your proficiency in programming languages such as Python, R, and SQL. If you have experience with distributed computing or machine learning techniques, make sure to include specific examples of how you've applied these skills in previous roles.
Highlight Problem-Solving Experience: Provide examples of past research projects where you interpreted and presented results. Detail how you approached complex problems and the impact of your solutions, especially in relation to alpha generation and investment strategies.
How to prepare for a job interview at State Street
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used your analytical skills in previous roles. Highlight any projects where you generated innovative ideas for investment processes or improved portfolio construction.
✨Demonstrate Coding Proficiency
Be ready to talk about your experience with coding, especially in Python, R, and SQL. You might be asked to solve a coding problem or explain your approach to data analysis, so brush up on your technical skills.
✨Discuss Machine Learning Knowledge
Since the role involves machine learning techniques, prepare to discuss your understanding of theoretical and practical concepts in this area. Be ready to share any relevant experiences or projects where you applied machine learning to solve investment problems.
✨Understand the Company’s Vision
Research State Street Global Advisors and their approach to asset management, particularly in systematic equity strategies. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the role.
