Leverage AI tools and technologies to enhance the efficiency of index research and design process, focusing on automating day-to-day workflows, enabling smarter research practices, and accelerating the transition of ideas into production.
Implement Python applications using object-oriented programming principles for efficient and scalable solutions.
Provide analytical services to support index decision-making processes.
Development of investment analytics and research tools.
Maintain strong relationships and effective communication with the development, product, sales and marketing functions.
Work closely with the team to integrate quant models and algorithms into production-grade software.
Respond to internal research enquiries related to index construction and development.
Assume responsibility for index rebalance mechanisms.
Create regular research reports highlighting the application of research tools and the characteristics of specific indexes.
Qualifications/Experience
Hands-on experience with AI tools and APIs.
Good knowledge of quantitative investment analytics, including portfolio simulation, optimization algorithms, and performance attribution.
Proficiency in analytical tools and programming languages such as Python, SQL, Matlab, with experience applying these in an analytical environment.
Experience in workflow automation and scripting for process improvement.
Master's degree or above in computer science, financial engineering or a related discipline.
Good knowledge and understanding of global financial markets and products, including the role of indices.
Fluency in English, with business proficiency in speaking and writing.
Strong problem-solving skills and ability to work in a team to strict deadlines, manage workloads and competing priorities effectively, and readily assume additional responsibilities.
Preferred skills
Proven experience integrating AI tools into research or business workflows.
Knowledge of financial instruments and equity markets
Exposure to data analysis libraries (e.g., pandas, numpy) and visualisation tools (Matplotlib, plotly)
Type of person
Drive and ambition to achieve business goals
Excellent relationship skills and ability to network
Ability to work effectively within a team environment, contributing to team goals and objectives
Strong communication and presentation skills
Ability to deal with multiple priorities and changing requirements
Excellent problem-solving skills and a high level of curiosity
Career Stage:
Senior Associate
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not
Benefits
Vision insuranceEquity / stock options
Additional Information
Role profile:
The Equity Index Senior Research Analyst will work in the FTSE Russell Equity Index Research & Design team. The Index Research & Design team are responsible for the development, design and research of equity indices and index related analytics. The team work closely with both internal departments and FTSE Russell's partners and key clients, including major asset owners, fund managers and investment banks in the creation of new index products. This involves the use of fundamental and quantitative techniques to design and provide index solutions and analysis across all asset classes. It is a global team, with members in London, New York, Hong Kong, Shanghai, Taipei and Mumbai.
Lseg · Chn-shanghai-azia Centre 30/f