Quantitative Index Developer
Job Summary
Job Description
This Quantitative Index Developer role involves building a research tooling framework in Python. Key responsibilities include implementing Python applications using object-oriented programming principles, participating in the full software development lifecycle, analyzing and optimizing existing codebases, integrating models and algorithms, developing investment analytics and research tools, collaborating with the team, and responding to research inquiries. The ideal candidate should have strong proficiency in Python programming and experience with version control systems. This role requires a talented developer to contribute to quantitative research and build a quantitative research framework in Python. The candidate will work closely with quantitative researchers.
Must have:
- Implement Python applications using object-oriented programming principles.
- Participate in the full software development lifecycle.
- Strong proficiency in Python programming.
- Experience with version control systems (Git).
- Ability to communicate effectively within a multi-functional team.
- Exposure to data analysis libraries (e.g., pandas, numpy).
Good to have:
- Knowledge of financial instruments and equity markets.
- Familiarity with cloud services.
- Familiarity with quantitative research methodologies.
Perks:
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives
14 skills required
Job Details
Role Profile
The FTSE Russell Equity Index Research & Design team require a Quantitative Developer to help build a research tooling framework in Python. The team is responsible for the development, design and research of equity indices. This role is open to a talented Python Developer who will contribute to quantitative research and build out a quantitative research framework in Python.
Key Responsibilities
- Implement Python applications using object-oriented programming principles for efficient and scalable solutions
- Participate in the full software development lifecycle from conceptualization to continuous deployment and integration
- Analyse and optimize existing codebase for performance and maintainability
- Work closely with quantitative researchers to integrate their models and algorithms into production-grade software
- Development of investment analytics and research tools
- Collaborate with the team to understand technical requirements and contribute to the design and development of new index products
- Respond to internal and external research enquiries related to index construction and analytic developments
- Bachelor's, Master's degree or equivalent experience in Computer Science, Engineering, Mathematics, or related technical field
- Strong proficiency in Python programming in an analytical environment with a focus on object oriented design and development
- Experience with version control systems (Git) and collaborative software development practices
- Ability to communicate effectively within a multi-functional team translating technical concepts
- Eagerness to learn and adapt in a fast-paced innovative environment
- Ability to work in a team with fast turnarounds, manage workloads effectively and readily assume additional responsibilities
- Exposure to data analysis libraries (e.g., pandas, numpy) and visualisation tools (Matplotlib, plotly)
- Understanding software testing principals and frameworks
- Knowledge of financial instruments and equity markets
- Familiarity with cloud services
- Familiarity with quantitative research methodologies or keen interest in financial markets would be advantageous.
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About The Company
LSEG (London Stock Exchange Group) isa leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.
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