Kroll’s Alternative Asset Advisory practice is seeking an Analyst to join a growing team of financial instruments experts that assist our clients with the valuation and modelling of complex financial instruments. Our quantitative analytics professionals work with hedge funds, private equity funds, credit funds, and corporate finance groups to provide valuation clarity over derivatives and illiquid financial instruments which require advanced financial modelling.
We are seeking a quantitative finance professional to leverage advanced analytical tools and mathematical processes in support of this high-growth team’s robust asset class expertise.
Preferred candidate backgrounds include options and derivatives, quantitative finance, and statistics.

REQUIREMENTS:

• Bachelors, Master’s, or PhD in Finance, Mathematics, Statistics, or a related quantitative discipline.
• Professional or internship experience at a fund, investment bank, consultancy, or related financial services institution is beneficial.
• Expertise in financial valuation theory, methodologies, applications, and the fundamentals of constructing and reviewing valuation models for complex financial instruments is essential.
• Strong analytical and problem-solving skills, as well as strong verbal and written communication skills.
• Modelling and programming experience with Excel/VBA, Python, C# or C++ is beneficial.
• Expertise in Bloomberg, Intex, Numerix, and PowerBI is beneficial.

• Designing and implementing financial models for the valuation of derivatives, options, structured products, and bespoke financial instruments.
• Performing valuation analyses on a wide range of illiquid financial instruments, with a particular focus on swaps, employee incentive schemes, embedded derivatives, hedging instruments, and public and private structured credit investments.
• Leveraging technology in applied mathematics, statistics, computer science, and economics to implement Monte Carlo simulations, binomial trees, option pricing models, and securitisation waterfall models.
• Assist with the execution of all aspects of client engagements.
• Writing technical reports and delivering analyses to fund investment and finance teams, corporate management groups, and board committees.