At a Glance
- Tasks: Design innovative equity and commodity indices using quantitative analytics.
- Company: Join Intercontinental Exchange, a leader in data indices with a dynamic team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make an impact by blending analytics with commercial strategies in a fast-paced environment.
- Qualifications: Strong Python skills and expertise in equity index construction and ESG.
The predicted salary is between 63000 - 77000 £ per year.
Intercontinental Exchange (ICE) Data Indices in London seeks a senior index designer to blend quantitative analytics with commercial acumen. You will partner with clients, sales and product teams to create innovative equity and commodity indices, translating objectives into robust methodologies and production-ready implementations.
The role requires strong Python skills, data manipulation, back-testing, and deep knowledge of equity index construction, ESG, and thematic approaches.
Senior Index Product Lead - Equity & Commodity in City of Westminster employer: Intercontinental Exchange
Intercontinental Exchange (ICE) is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, all while being part of a leading global financial services company located in a vibrant market. Joining ICE means contributing to cutting-edge initiatives in AI and digital assets, making a meaningful impact in the regulatory landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Index Product Lead - Equity & Commodity in City of Westminster
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We think you need these skills to ace Senior Index Product Lead - Equity & Commodity in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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