Analyst development
About The Role
Grade Level (for internal use): 11 Job Description: Analyst - Fixed Income Index Developer This role is ideal for someone who combines quantitative rigor, technical fluency, and fixed income product knowledge, while being proactive, collaborative, and deadline-driven in a high-profile environment. The Team The Fixed Income Index Development team is responsible for the design, back-testing, and implementation of benchmark and custom indices across global fixed income asset classes. The group works closely with R&D, Product, and Operations teams to deliver innovative, high-quality index solutions that serve institutional investors, asset managers, and ETF providers. The Impact As a Fixed Income Index Developer, you will play a critical role in developing, testing, and launching fixed income indices that are directly client-impacting and highly visible across the market. You will be responsible for ensuring index strategies are robust, data-driven, and operationally executable. This position requires strong quantitative, programming, and analytical skills alongside a deep understanding of fixed income markets. What’s In It For You- High visibility and client impact: You will drive the creation of indices that influence ETF launches, structured products, and benchmarks used globally.
- Cutting-edge development: Work hands-on with large, fixed income datasets, applying Python, SQL, and modern analytical tools to power index design and back-testing.
- Cross-functional collaboration: Partner with Product, R&D, and Operations teams, gaining broad exposure to the full lifecycle of index creation.
- Professional growth: The role offers an opportunity to deepen expertise in fixed income strategy design, quantitative research, and large-scale data engineering, while directly shaping front-line financial products.
- Collaborating with Product, R&D, and Operations to design, test, and launch new fixed income indices.
- Conducting rigorous index back-tests to validate methodologies, stress test outcomes, and optimize strategies.
- Working with large datasets from multiple vendors and internal systems, ensuring data integrity, quality, and completeness.
- Translating complex index methodologies into Python- and SQL-based workflows to simulate and validate index performance.
- Partnering with operations to ensure seamless handover of indices into production, maintaining high accuracy and timeliness.
- Preparing high-quality documentation and presentations for Index Committees and internal stakeholders.
- Managing multiple projects simultaneously, balancing deadlines, risks, and cross-team dependencies.
- Developing tools, automation, and analytics to improve workflow efficiency and back testing capabilities.
- Serving as a subject matter expert for fixed income markets, contributing research and ideas for innovative indices.
- Upholding discipline, organization, and proactive communication in a high-stakes, client-impacting environment.
- Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, or related field.
- 5+ years of relevant experience, preferably in index development, fixed income research, or quantitative strategy.
- Strong working knowledge of fixed income markets (credit, rates, sovereign debt, corporates, Munis, structured products).
- Advanced proficiency in Python, SQL, and Excel for quantitative research and data analysis.
- Experience with large and complex financial datasets (e.g., Bloomberg, Refinitiv, ICE, S&P).
- Ability to manage multiple projects under tight deadlines with accuracy and attention to detail.
- Excellent communication and documentation skills, with strong collaborative orientation.
- Proven problem-solving abilities and the ability to adapt to evolving requirements.
- Master’s degree (Finance, Economics, Data Science, or related field) strongly preferred.
- Experience designing or managing benchmarks, ETFs, or custom indices.
- Familiarity with data science toolkits (Pandas, NumPy, SciPy, scikit-learn).
- Knowledge of risk models, yield curve construction, and duration/convexity analytics.
- Experience in back testing investment strategies using historical datasets.
- Strong organizational skills with demonstrated ability to handle multiple launches across geographies.
- Knowledge of workflow tools and version control (e.g., Git/GitHub, JIRA, Agile frameworks
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
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