Intern (Risk & Quant Strats)

HPS Investment Partners is a leading global investment firm that seeks to provide creative capital solutions and generate attractive risk-adjusted returns for our clients. We manage various strategies across the capital structure, including privately negotiated senior debt; privately negotiated junior capital solutions in debt, preferred and equity formats; liquid credit including syndicated leveraged loans, collateralized loan obligations and high yield bonds; asset-based finance and real estate. The scale and breadth of our platform offers the flexibility to invest in companies large and small, through standard or customized solutions. At our core, we share a common thread of intellectual rigor and discipline that enables us to create value for our clients, who have entrusted us with approximately $145 billion of assets under management as of August 2024. HPS has approximately 200 investment professionals and over 700 total employees, and has fourteen offices globally.

 

HPS believes in the importance of giving back to its communities, and in promoting diversity and inclusivity at the firm. We are dedicated to fostering enduring community relationships, and we support our team’s community involvement through volunteer work, board service, and other contributions. In addition, environmental, social, and governance (ESG) considerations are central to HPS’s culture and investment processes.

Position Description                                                                                                                                                                                                          

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 charter holder or candidate status.  Temperamentally, the successful internship candidate will be highly collaborative and execution-focused. 

Responsibilities

Specific responsibilities will include but not be limited to the following:

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

Candidate Profile

e.g. skills/competencies/experiences/mandatory languages

• 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, Exempt

Hybrid Work Schedule 

• 4/1 split (Flexible Remote Fridays)