Overview
On Site
Full Time
Skills
Quantitative Analysis
Bloomberg
Research and Development
Benchmarking
Quantitative Research
Sustainability
Analytics
Collaboration
Innovation
FOCUS
Market Analysis
Computational Finance
Economics
Mathematics
Physics
Finance
Research
Commodities
Pricing
Derivatives
Python
Communication
Analytical Skill
Attention To Detail
Job Details
Bloomberg's Index Research group is responsible for the research and development of quantitative indices used for benchmarking and investment strategies. As part of a broader quantitative research organization, we also support portfolio and sustainability analytics that serve many of the world's largest and most sophisticated investors. We value collaboration and are dedicated to fostering a vibrant research culture grounded in innovation, rigor, and excellence.
The Role:
We are seeking a highly analytical and detail-oriented Quantitative Index Researcher. The ideal candidate will hold an advanced degree in a quantitative field and have a background in derivatives or commodity research. In this role, you will focus on designing, developing, and evaluating quantitative index methodologies that underpin investment products and benchmark strategies.
We'll trust you to:
- Design and develop quantitative index methodologies across multiple asset classes
- Analyze market data, derivative structures, and commodity fundamentals to enhance index performance and robustness
- Work closely with product and engineering teams to integrate research models into production environments
- Monitor existing indices and recommend improvements to methodology and construction
- Document and present research findings, white papers, and model specifications to internal and external stakeholders
You'll need to have:
- Advanced degree in Financial Engineering, Economics, Mathematics, Physics, or a related quantitative discipline
- 3-10+ years of experience in financial markets, preferably in a research role focused on indices, derivatives, or commodities
- Strong understanding of pricing models for options, futures, and other derivatives
- Proficiency in Python
- Excellent written and verbal communication skills
- Strong analytical thinking, attention to detail, and a proactive, collaborative mindset
The Role:
We are seeking a highly analytical and detail-oriented Quantitative Index Researcher. The ideal candidate will hold an advanced degree in a quantitative field and have a background in derivatives or commodity research. In this role, you will focus on designing, developing, and evaluating quantitative index methodologies that underpin investment products and benchmark strategies.
We'll trust you to:
- Design and develop quantitative index methodologies across multiple asset classes
- Analyze market data, derivative structures, and commodity fundamentals to enhance index performance and robustness
- Work closely with product and engineering teams to integrate research models into production environments
- Monitor existing indices and recommend improvements to methodology and construction
- Document and present research findings, white papers, and model specifications to internal and external stakeholders
You'll need to have:
- Advanced degree in Financial Engineering, Economics, Mathematics, Physics, or a related quantitative discipline
- 3-10+ years of experience in financial markets, preferably in a research role focused on indices, derivatives, or commodities
- Strong understanding of pricing models for options, futures, and other derivatives
- Proficiency in Python
- Excellent written and verbal communication skills
- Strong analytical thinking, attention to detail, and a proactive, collaborative mindset
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.