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- Tasks: Lead the design and implementation of innovative fixed income indices while collaborating with clients and teams.
- Company: Join a dynamic team at IDE Data Indices in London, focused on cutting-edge financial solutions.
- Benefits: Competitive salary, professional development opportunities, and a collaborative work environment.
- Why this job: Make a real impact in the finance industry by creating custom index solutions for institutional clients.
- Qualifications: Strong Python skills, quantitative analysis experience, and a background in finance or technology.
- Other info: Fast-paced role with opportunities for growth and innovation in the fixed income market.
The predicted salary is between 36000 - 60000 £ per year.
This position is a senior role within IDE Data Indices (IDI) fixed income product team in London. The successful candidate will be part of a team working in the design, verification, and release of new index builds. The candidate must be comfortable with working individually and in collaboration with the team. The position requires 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.
The successful candidate 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 fixed income methodologies.
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 fixed income indices
- Present index concepts, performance analytics, and methodology details to clients and stakeholders
- Develop new index methodologies for fixed income indices including ESG
- 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 modelling
- 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, including the Custom Index Tool (CIT)
- Identify workflow efficiencies and implement process improvements to enhance accuracy and scalability
- Conduct ad hoc research on fixed income market trends
- Stay ahead of developments in smart beta and ESG
- 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 ESG methodologies
- Excellent communication skills for client-facing interactions and presentations
- Ability to manage multiple projects under tight deadlines in a fast-paced environment
- Commercial mindset with eagerness to collaborate across product, sales, and technology teams
Index Product Development Manager in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your Python skills. Be ready to discuss your experience with quantitative analysis and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and tailor your approach to each application. Quality over quantity!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show your genuine interest in the role and the company.
We think you need these skills to ace Index Product Development Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python programming skills and any relevant quantitative analysis experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Manager, Index Product Development role. Share specific examples of how you've engaged with clients or developed innovative index solutions in the past.
Showcase Your Technical Skills: Since this role requires strong technical expertise, don’t shy away from mentioning your proficiency in Python and any advanced data analytics capabilities. We want to see how you can bring those skills to our team!
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’s super easy!
How to prepare for a job interview at Intercontinental Exchange (ICE)
✨Know Your Indices
Make sure you brush up on your knowledge of fixed income indices and methodologies. Be prepared to discuss how you would design and implement new index solutions, especially with a focus on ESG factors. This shows that you understand the role's requirements and can contribute from day one.
✨Show Off Your Python Skills
Since strong Python programming skills are crucial for this role, be ready to demonstrate your technical expertise. You might be asked to solve a problem or explain how you've used Python in past projects. Practising coding challenges related to data analysis could give you an edge.
✨Engage with Real Scenarios
Prepare to discuss real-world scenarios where you've engaged with clients or stakeholders. Think about how you identified their needs and translated them into actionable solutions. This will highlight your client engagement skills and commercial acumen, which are key for this position.
✨Be Ready for Quantitative Analysis
Expect questions that test your quantitative analysis skills. Brush up on back-testing, risk/return analytics, and scenario modelling. Being able to articulate your thought process and the methodologies you would use will demonstrate your analytical capabilities and fit for the role.
