Loans Pricing Product Development Lead
S&P Global, Inc., New York, NY, United States
About the Role
Team: The Fixed Income Pricing and Reference Data 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. We value transparency, data integrity, and a strong client‑first mindset in a collaborative, high‑performance environment.
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 - $133,000 (final salary determined by location, experience, skills, trainings, licenses, certifications). Eligible for an annual incentive plan but not for additional compensation such as sales commission.
Additional benefits include health care coverage, generous time off, learning resources, retirement planning, financial wellness programs, family‑friendly perks, and other perks.
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.
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 Limited to persons with indefinite right to work in the United States.
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.
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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 - $133,000 (final salary determined by location, experience, skills, trainings, licenses, certifications). Eligible for an annual incentive plan but not for additional compensation such as sales commission.
Additional benefits include health care coverage, generous time off, learning resources, retirement planning, financial wellness programs, family‑friendly perks, and other perks.
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.
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 Limited to persons with indefinite right to work in the United States.
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.
#J-18808-Ljbffr