Description
The Fixed Income Data Manager 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.
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.
Requirements:
- 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.
Compensation/Benefits Information:
- 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.
Benefits:
- 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.