More jobs:
Global Investment Research, Credit Research Analyst
Job in
New York City, Richmond County, New York, USA
Listed on 2026-10-22
Listing for:
Goldman Sachs
Full Time
position Listed on 2026-10-22
Job specializations:
-
Finance & Banking
Financial Analyst, Data Scientist, Economics, Capital Markets
Job Description & How to Apply Below
Key responsibilities include:
Analyzing and interpreting large amounts of data related to the global corporate credit market (liquid and private)
Assist the team in publishing timely and topical investment research (content slate includes high-frequency weekly pieces, as well as longer-term ‘deep dives’) Playing a key role in our ‘production’ process – regularly updating charts/data for our regular research and client marketing decks Supporting internal stakeholders across the firm to deliver superior client service and thought leadership (includes regularly completing bespoke data requests with a sense of commercial urgency, and doing client meetings as appropriate)
Collaborating with the broader Macro Strategy team (across asset classes) as well as our regional economists
Where applicable, work with the team help to modernize our vast data infrastructure QUALIFICATIONS2 to 4+ years of experience working in investment strategy research, ideally with some general familiarity with corporate credit markets (IG, HY, loans, private credit)
Master’s degree in Finance, Economics, or STEM (Science, Technology, Engineering, and Math) or CFA/CAIA is preferable Strong quantitative skills and fluency in applied statistics and econometrics Excellent English language verbal and written communication skills
Demonstrated success in managing multiple priorities and consistently showing accountability/ownership in a fast-paced, deadline-driven, market-based environment
Ability to internalize the broader objectives of the team and work toward those goals (despite the inevitable obstacles and roadblocks)
Must have a passion for the markets, a learning mindset, and a positive attitude – no task is too large or too small Must have a desire to work in a collaborative, team-oriented environment (with colleagues on site and in different cities) Experience using Python, SAS, SQL etc. for statistical analysis and data manipulation
Familiarity with vendor data such as Bloomberg, Pitch Book LCD, Dealogic, Haver, Preqin, a plus Posting Date:
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