Not specified; competitive pyy mentioned; retireme...
Not specified
Masters degree in finance or related field
Proficient python programming skills
Experience with fixed income index construction
S&P Global is seeking a Senior Associate for their Global Research and Design team to support the development of new credit benchmarks, requiring expertise in fixed income index construction, programming skills, and a strong quantitative background. The ideal candidate should have a Master's degree and a commitment to studying for the CFA, with a collaborative mindset and excellent analytical capabilities
Job Summary
The role supports senior analysts in designing new S&P Dow Jones Credit Benchmarks using advanced index construction techniques.
Candidates will be responsible for the full index design lifecycle, including research, data gathering, back-testing, and finalizing methodologies.
S&P Global offers comprehensive benefits including health coverage, flexible downtime, continuous learning resources, and family-friendly perks.
Matching Summary
Match Score: 85
S&P Global is seeking a Senior Associate for their Global Research and Design team to support the development of new credit benchmarks, requiring expertise in fixed income index construction, programming skills, and a strong quantitative background. The ideal candidate should have a Master's degree and a commitment to studying for the CFA, with a collaborative mindset and excellent analytical capabilities.
Salary
Not specified; Competitive pay mentioned; Retirement planning and student loan contribution available
Skills & Requirements
Must-have
Masters Degree in finance or related field
Proficient Python programming skills
Experience with fixed income index construction
Ability to handle large datasets
Strong analytical and quantitative capabilities
Nice-to-have
CFA knowledge or commitment to studying
Experience with alternative data sets
Thoughtful and curious mindset
Enthusiasm for collaborative work
Background in sophisticated portfolio construction
Key Requirements
Masters Degree required
Advanced degree preferred in CS, math, engineering, economics, or finance
Commitment to studying CFA curriculum
Must demonstrate excellent analytical capabilities