2027 Summer Financial Analyst (Class of 2028), Corporate Valuation Advisory Services, Complex Securities - Multiple Locations

Hogan Lovells•Los Angeles, CA

10d•$80,000 - $120,000

About The Position

As a Summer Financial Analyst on Houlihan Lokey’s Corporate Valuation Advisory Services (CVAS) Complex Securities team, you will join a small, specialized, fast-growing team serving corporate clients across a wide variety of industries. You will collaborate with junior and senior team members on client engagements, performing complex valuations of financial instruments such as debt and derivatives and creating statistical analyses and models. The position is intended for students graduating between September 2027 and July 2028. The role requires a quantitative background and experience valuing financial instruments with non-linear payoffs, analyzing large datasets, and building or improving automated models and processes. The posted good-faith estimate of the salary range is $80,000–$120,000. Actual salary may be above or below that range based on factors including qualifications, skills, experience, service line, and location. The firm states that the role may include discretionary incentive compensation and provides a competitive benefits package; further benefits information is referenced on its 2026 Benefits page.

Requirements

Must be graduating between September 2027 and July 2028.
Bachelor’s or Master’s degree in a quantitative discipline, such as finance, statistics, mathematics, economics, or engineering.
Strong knowledge of financial instruments, derivatives valuation theory, and statistical methods.
Strong analytical capabilities and attention to detail.
Proficient verbal and written communication skills.
Experience valuing financial instruments with non-linear payoffs, including convertible bonds, warrants, derivatives, earn-outs, and complex capital structures, using closed-form solutions, binomial lattices, and Monte Carlo simulations in Python, R, or Matlab.
Experience working with large datasets, performing statistical analyses in Python, and presenting results with data visualization software such as Tableau.
Demonstrated history of building and improving models and processes that automate routine calculations using Python and VBA.
Passion for financial markets and data analysis.

Responsibilities

Develop quantitative models to value unique financial instruments.
Improve existing internal modelling processes.
Perform statistical and data analyses.
Present analyses and conclusions internally and externally.
Collaborate with junior and senior team members on client engagements involving complex valuations of financial instruments.