S&P Global, Inc.
Analyst, Index Development - Fixed Income Indices
S&P Global, Inc., New York, New York, us, 10261
About the Role:
Grade Level (for internal use):
11
Job Title:
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.
Responsibilities:
Collaborate with Product, R&D, and Operations to design, test, and launch new fixed income indices.
Conduct rigorous index back‑tests to validate methodologies, stress‑test outcomes, and optimize strategies.
Work with large datasets from multiple vendors and internal systems, ensuring data integrity, quality, and completeness.
Translate complex index methodologies into Python‑ and SQL‑based workflows to simulate and validate index performance.
Partner with operations to ensure seamless handover of indices into production, maintaining high accuracy and timeliness.
Prepare high‑quality documentation and presentations for Index Committees and internal stakeholders.
Manage multiple projects simultaneously, balancing deadlines, risks, and cross‑team dependencies.
Develop tools, automation, and analytics to improve workflow efficiency and back‑testing capabilities.
Serve as a subject‑matter expert for fixed income markets, contributing research and ideas for innovative indices.
Uphold discipline, organization, and proactive communication in a high‑stakes, client‑impacting environment.
What We’re Looking For: Basic Qualifications:
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.
Preferred Qualifications:
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).
Compensation & Benefits Information: SP Global states that the anticipated base salary range for this position is $120,000 to $135,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional SP Global benefits. For more information on the benefits we provide to our employees, please click here.
Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster. It describes discrimination protections under federal law.
#J-18808-Ljbffr
11
Job Title:
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.
Responsibilities:
Collaborate with Product, R&D, and Operations to design, test, and launch new fixed income indices.
Conduct rigorous index back‑tests to validate methodologies, stress‑test outcomes, and optimize strategies.
Work with large datasets from multiple vendors and internal systems, ensuring data integrity, quality, and completeness.
Translate complex index methodologies into Python‑ and SQL‑based workflows to simulate and validate index performance.
Partner with operations to ensure seamless handover of indices into production, maintaining high accuracy and timeliness.
Prepare high‑quality documentation and presentations for Index Committees and internal stakeholders.
Manage multiple projects simultaneously, balancing deadlines, risks, and cross‑team dependencies.
Develop tools, automation, and analytics to improve workflow efficiency and back‑testing capabilities.
Serve as a subject‑matter expert for fixed income markets, contributing research and ideas for innovative indices.
Uphold discipline, organization, and proactive communication in a high‑stakes, client‑impacting environment.
What We’re Looking For: Basic Qualifications:
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.
Preferred Qualifications:
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).
Compensation & Benefits Information: SP Global states that the anticipated base salary range for this position is $120,000 to $135,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional SP Global benefits. For more information on the benefits we provide to our employees, please click here.
Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster. It describes discrimination protections under federal law.
#J-18808-Ljbffr