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- Tasks: Design innovative equity and commodity indices while collaborating with clients and teams.
- Company: Join a leading data indices firm in London with a focus on growth and innovation.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Why this job: Make an impact by creating tailored index solutions for institutional clients.
- Qualifications: Strong Python skills, quantitative analysis experience, and knowledge of index methodologies required.
- Other info: Fast-paced environment with opportunities to work on cutting-edge financial products.
The predicted salary is between 36000 - 60000 £ per year.
This position is a senior role within ICE Data Indices (IDI) in London, focused on equity and commodity index development. The successful candidate will combine technical expertise, quantitative skills, and commercial acumen to design innovative index solutions and drive business growth. This is a highly proactive role requiring close collaboration with clients, sales, and business development teams to identify opportunities, customize indices, and deliver tailored solutions.
You will engage directly with institutional clients to understand investment objectives, translate them into index methodologies, and oversee implementation with quant and development teams. The role demands strong Python programming skills, advanced data analytics capabilities, and deep knowledge of equity index construction methodologies, including market-cap weighting, factor-based strategies, ESG integration, and thematic approaches. Commodity index experience is also essential.
Responsibilities- Client Engagement & Business Development
- Partner with sales and business development teams to identify client needs and market opportunities
- Engage directly with asset managers, ETF providers, and institutional investors to design custom equity and commodity indices
- Present index concepts, performance analytics, and methodology details to clients and stakeholders
- Develop new index methodologies for equity indices (e.g., market-cap, equal-weight, factor-based, ESG, thematic) and commodity benchmarks
- Collaborate with quant and development teams to implement and deploy indices into production
- Ensure methodologies align with regulatory and industry standards
- Perform rigorous quantitative analysis using Python, including back-testing, risk/return analytics, and scenario modeling
- Validate index calculations and ensure methodology rules are correctly applied
- Analyze performance attribution and sensitivity at both index and constituent levels
- Utilize the ICE Index Platform for index construction, profiling, and customization
- Identify workflow efficiencies and implement process improvements to enhance accuracy and scalability
- Conduct ad hoc research on equity market trends, factor performance, and commodity pricing
- Stay ahead of developments in smart beta, ESG, and thematic index design
- Undergraduate degree in Math, Finance, Engineering, Physics, or Technology; advanced degree a plus
- Strong proficiency in Python for quantitative analysis, data manipulation, and back-testing
- Advanced Excel skills; familiarity with SQL is a plus
- Professional certifications such as CFA/CIPM are advantageous
- Deep understanding of equity index construction methodologies, including:
- Market-cap and equal-weight approaches
- Factor-based and smart beta strategies
- ESG and thematic index design
- Corporate actions and rebalancing processes
Index Product Development Manager employer: Intercontinental Exchange (ICE)
Contact Detail:
Intercontinental Exchange (ICE) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Index Product Development Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your Python programming and quantitative analysis abilities. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. Being able to clearly articulate your ideas and methodologies is key in client-facing roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can contribute to our team. Your next opportunity could be just a click away!
We think you need these skills to ace Index Product Development Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Index Product Development Manager role. Highlight your Python programming skills, quantitative analysis experience, and any relevant index construction methodologies you've worked with.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've engaged with clients or developed innovative index solutions in the past. This is your chance to show off your commercial acumen!
Showcase Your Technical Skills: Since this role requires strong technical expertise, don’t shy away from mentioning your proficiency in Python and data analytics. If you have experience with back-testing or risk/return analytics, make sure to include that too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at Intercontinental Exchange (ICE)
✨Know Your Indices
Make sure you brush up on your knowledge of equity and commodity index methodologies. Be ready to discuss market-cap weighting, factor-based strategies, and ESG integration. This will show that you understand the core of what the role entails and can engage in meaningful conversations with potential clients.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to demonstrate your proficiency. You might be asked to solve a problem or explain how you've used Python for quantitative analysis in the past. Bring examples of your work or projects that highlight your data manipulation and back-testing capabilities.
✨Engage with Real Scenarios
Think of specific client scenarios where you had to design custom indices. Be ready to discuss how you identified client needs, collaborated with teams, and implemented solutions. This will showcase your client engagement skills and your ability to drive business growth.
✨Stay Ahead of Trends
Research current trends in equity markets, smart beta, and ESG. Being able to discuss recent developments or innovations in index design will impress interviewers and demonstrate your proactive approach to staying informed in the industry.
