Summer Intern (Risk & Quant Strats)

The Risk & Quant Strats team is seeking an individual skilled in data science and quantitative analysis for a summer internship position.  The primary focus of the role would be geared towards quantitative credit work.  A secondary focus of the role could include pro forma financial modeling for pipeline deal analysis as well as the build-out of risk monitoring and originations analytics capabilities for the High Grade Private Credit business.  Finally, the scope of the role includes the potential to make and apply novel research contributions on the drivers of risk and return in private and public credit markets.

The successful candidate for the role will possess stellar qualifications, such as a high current GPA, very strong SAT/ACT scores, success in problem solving competitions and/or independent research as evidenced by publications, and a demonstrated history of coursework in finance, economics, accounting, mathematics and/or other STEM fields at a top-tier university.  Candidates will exhibit a strong work ethic, curiosity about private credit as an asset class, and a good working knowledge of Python and SQL.  Knowledge of leading commercial reduced-form and structural credit risk models is highly desirable, as is CFA charterholder or candidate status.  Temperamentally, the successful internship candidate will be highly collaborative and execution-focused. 

Responsibilities

• Research into drivers of risk and return in private and public credit strategies
• Development of and enhancement of risk and rel val tools

Qualifications:

• Coursework in Mathematics, Finance, Economics and/or STEM fields from a top-tier university
• Proficient in Python, SQL and Microsoft Office
• Knowledgeable of leading commercial credit risk models
• Highly collaborative and execution-focused / ownership mindset
• CFA Level I Pass or more is a plus

Location:

• New York

Employment Type

• Full-time, Non-Exempt