Loans Pricing Product Development, Senior Specialist
S&P Global, New York, NY, United States
About the Role
Grade Level (for internal use): 09
We are seeking a Senior Fixed‑Income Pricing Analyst to join the Fixed Income Pricing and Reference Data team. The team delivers independent pricing datasets, analytics, and reference data products across global credit markets, including CDS, syndicated loans, bonds, curves, and securitized products. Operating at the intersection of markets, data, and technology, the team combines deep asset‑class expertise with scalable data and analytics solutions to support institutional workflows.
Responsibilities and Impact
Lead the development and enhancement of loan pricing products, including independent bid/offer pricing, dealer‑contributed inputs, evaluated pricing methodologies, and liquidity measures across global leveraged loan markets.
Drive the evolution of pricing methodologies and product capabilities by working closely with pricing, quantitative, and engineering teams to deliver scalable, production‑ready solutions.
Provide hands‑on technical leadership by setting direction, reviewing methodologies, and coordinating cross‑functional delivery while remaining directly involved in solution design and analysis.
Develop and prototype pricing methodologies (POCs) using Python and SQL, analyzing pricing inputs, validating outputs, and supporting the transition of models into production environments.
Partner with pricing, data, and engineering teams to integrate dealer contributions, transactional data, and evaluated models into robust pricing frameworks.
Contribute to broader fixed‑income pricing initiatives across CDS, bonds, curves, and securitized products, while maintaining a primary focus on loan pricing products.
Compensation and Benefits Base salary range: $109,541 to $133,000 (final salary determined by location, experience, skill set, training, licenses, and certifications). Eligible for an annual incentive plan; not eligible for additional incentive bonus or sales commission plan. Eligible for additional S&P Global benefits. For more information on the benefits we provide, visit https://spgbenefits.com/benefit-summaries/us.
Basic Required Qualifications
Bachelor’s degree in finance, economics, mathematics, engineering, or a related quantitative field, or equivalent practical experience.
5+ years of experience in fixed‑income markets, with hands‑on exposure to syndicated loans, credit markets, or pricing/data products.
Hands‑on experience with Python and SQL to analyze large or imperfect datasets, prototype methodologies, and validate pricing outputs.
Experience working closely with engineering and/or quantitative teams to deliver production‑grade, data‑driven solutions.
Additional Preferred Qualifications
Exposure to cross‑asset credit markets (CDS, bonds, curves, securitized products) and relative value concepts.
Familiarity with market data or pricing products, including dealer‑contributed data or evaluated pricing.
Experience with cloud‑based environments (e.g., AWS) or data pipeline workflows.
Exposure to pricing methodologies, curve construction, or valuation frameworks.
Right to Work Requirements This role is limited to persons with indefinite right to work in the United States.
Return to Work If you have taken time out for caring responsibilities and are now looking to return to work, as part of our Return to Work initiative (Restart), we encourage 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 email EEO.Compliance@spglobal.com.
Job ID: 325235
Posted On: 2026-04-14
Location: New York, New York, United States
#J-18808-Ljbffr
We are seeking a Senior Fixed‑Income Pricing Analyst to join the Fixed Income Pricing and Reference Data team. The team delivers independent pricing datasets, analytics, and reference data products across global credit markets, including CDS, syndicated loans, bonds, curves, and securitized products. Operating at the intersection of markets, data, and technology, the team combines deep asset‑class expertise with scalable data and analytics solutions to support institutional workflows.
Responsibilities and Impact
Lead the development and enhancement of loan pricing products, including independent bid/offer pricing, dealer‑contributed inputs, evaluated pricing methodologies, and liquidity measures across global leveraged loan markets.
Drive the evolution of pricing methodologies and product capabilities by working closely with pricing, quantitative, and engineering teams to deliver scalable, production‑ready solutions.
Provide hands‑on technical leadership by setting direction, reviewing methodologies, and coordinating cross‑functional delivery while remaining directly involved in solution design and analysis.
Develop and prototype pricing methodologies (POCs) using Python and SQL, analyzing pricing inputs, validating outputs, and supporting the transition of models into production environments.
Partner with pricing, data, and engineering teams to integrate dealer contributions, transactional data, and evaluated models into robust pricing frameworks.
Contribute to broader fixed‑income pricing initiatives across CDS, bonds, curves, and securitized products, while maintaining a primary focus on loan pricing products.
Compensation and Benefits Base salary range: $109,541 to $133,000 (final salary determined by location, experience, skill set, training, licenses, and certifications). Eligible for an annual incentive plan; not eligible for additional incentive bonus or sales commission plan. Eligible for additional S&P Global benefits. For more information on the benefits we provide, visit https://spgbenefits.com/benefit-summaries/us.
Basic Required Qualifications
Bachelor’s degree in finance, economics, mathematics, engineering, or a related quantitative field, or equivalent practical experience.
5+ years of experience in fixed‑income markets, with hands‑on exposure to syndicated loans, credit markets, or pricing/data products.
Hands‑on experience with Python and SQL to analyze large or imperfect datasets, prototype methodologies, and validate pricing outputs.
Experience working closely with engineering and/or quantitative teams to deliver production‑grade, data‑driven solutions.
Additional Preferred Qualifications
Exposure to cross‑asset credit markets (CDS, bonds, curves, securitized products) and relative value concepts.
Familiarity with market data or pricing products, including dealer‑contributed data or evaluated pricing.
Experience with cloud‑based environments (e.g., AWS) or data pipeline workflows.
Exposure to pricing methodologies, curve construction, or valuation frameworks.
Right to Work Requirements This role is limited to persons with indefinite right to work in the United States.
Return to Work If you have taken time out for caring responsibilities and are now looking to return to work, as part of our Return to Work initiative (Restart), we encourage 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 email EEO.Compliance@spglobal.com.
Job ID: 325235
Posted On: 2026-04-14
Location: New York, New York, United States
#J-18808-Ljbffr