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- Tasks: Develop Python applications for equity index research and analytics.
- Company: Join LSEG, a global leader in financial markets and data solutions.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Why this job: Be part of a creative culture driving sustainable economic growth and innovation.
- Qualifications: Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related fields; strong Python skills required.
- Other info: Embrace diversity in a dynamic team of 25,000 across 65 countries.
The predicted salary is between 43200 - 72000 £ per year.
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
Qualifications/Experience
- 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 principles and frameworks
Preferred Skills
- 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.
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 values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. 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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.
Quantitative Index Developer (London) employer: Vodafone
Contact Detail:
Vodafone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Index Developer (London)
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and equity indices. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python skills, especially focusing on object-oriented programming principles. Consider working on personal projects or contributing to open-source projects that showcase your ability to build scalable solutions.
✨Tip Number 3
Network with professionals in the financial technology sector. Attend relevant meetups or webinars where you can connect with others who work in quantitative development or related fields.
✨Tip Number 4
Prepare to discuss your experience with version control systems like Git. Being able to articulate your collaborative software development practices will demonstrate your readiness to work in a team environment.
We think you need these skills to ace Quantitative Index Developer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python programming skills and experience with object-oriented design. Include any relevant projects or roles that demonstrate your ability to work in a quantitative research environment.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the key responsibilities, such as developing investment analytics or collaborating with teams on software development.
Showcase Relevant Skills: Emphasise your familiarity with data analysis libraries like pandas and numpy, as well as your experience with version control systems like Git. This will show that you have the technical skills needed for the role.
Prepare for Technical Questions: Be ready to discuss your previous projects and how you applied Python in those contexts. You might also want to brush up on software testing principles and frameworks, as these could come up during the interview process.
How to prepare for a job interview at Vodafone
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially in an analytical context. Highlight specific projects where you've implemented object-oriented programming principles and how you optimised code for performance.
✨Understand Financial Instruments
Familiarise yourself with basic financial instruments and equity markets. This knowledge will help you relate better to the role and demonstrate your interest in the field during the interview.
✨Communicate Technical Concepts Clearly
Practice explaining complex technical concepts in simple terms. The ability to communicate effectively within a multi-functional team is crucial, so be ready to demonstrate this skill.
✨Prepare for Collaborative Scenarios
Think of examples where you've worked in a team to solve problems or develop projects. Be ready to discuss how you manage workloads and adapt to fast-paced environments, as collaboration is key in this role.
