About the Role:
Grade Level (for internal use):
08 The Team
The role sits in the Data team within S&P Dow Jones Indices. The team supports index construction, calculation, analytics, research, and commercial data products by ensuring that data is accurate, timely, scalable, and fit for purpose.
Reporting to the Fixed Income & Private Markets Data Value Stream Lead, this role is responsible for the management of our fixed income data sets, including reference data, corporate actions, ratings, and related datasets.
The role combines domain expertise, data management, stakeholder collaboration, and operational excellence to ensure the organization generates trusted, scalable, and commercially valuable data products.
Responsibilities
Manage bond data products within the Fixed Income Data Group, including bond terms and conditions, corporate actions data, ensuring data quality, accuracy, and timely delivery for index production and maintenance.
Work with the Fixed Income Index managers to deliver timely updates to securities within the relevant index universes.
Conduct data quality checks, implement validation and verification processes, and maintain high standards of data quality.
Collaborate with internal stakeholders and index managers to understand data requirements and ensure indices comply with their methodologies and objectives.
Onboard new data feeds and data sets, ensuring seamless integration into existing systems and adherence to processes and quality metrics.
Assist in preparing reports and presentations related to fixed income data analysis for internal and external clients.
Provide timely and accurate responses to enquiries from clients.
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $53,844 to $77,325. 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.
What We’re Looking For
Required Qualifications
1–3 years of experience in financial data management, data operations, index management, reference data, or a related function.
Foundational understanding of fixed-income instruments and datasets, including sovereign debt, corporate bonds, and related financial instruments.
Strong analytical and quantitative skills, with the ability to work with large datasets.
Proficiency in Python and SQL for data analysis, manipulation, and visualization, with a willingness to further develop these skills in a financial data environment.
Strong organizational and time-management skills.
Strong communication and presentation skills, with the ability to work collaboratively in a fast-paced, global environment.
Preferred Qualifications
Bachelor’s degree in finance, economics, mathematics, data science, business, or a related field.
Knowledge of financial data vendors, reference data management, valuation data, corporate actions, and data governance practices.
Familiarity with index methodologies and investment products.
Experience with Databricks, Power Automate, or workflow-orchestration platforms.
Experience with AI tools and agentic workflows.
Understanding of data lineage, metadata, and mastering concepts.
Exposure to private markets, structured finance, or alternative-investment datasets.
CFA, CAIA, FRM, or an equivalent industry qualification.
Right to Work Requirements:
This role is limited to persons with indefinite right to work in the United States.
We require all external candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer.
About S&P Global Dow Jones Indic e s
At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by…