Coda Search│Staffing

Compensation

Full Description

A leading global credit fund is seeking an Associate to join its risk, data science team. This newly created role will focus on building and enhancing quantitative models, analytics, and data-driven frameworks to support the firm’s investment decision-making across its growing private credit platform. This is an exciting opportunity for a highly analytical and collaborative individual to work at the intersection of finance, data science, and technology, with exposure to structured credit, private IG, and generative AI initiatives. Key Responsibilities • Develop and maintain quantitative models to evaluate the risk and return of complex structured credit investments • Partner with deal teams and portfolio managers to apply data-driven analysis to investment and portfolio construction decisions • Support modelling initiatives for the firm’s private investment strategies, including private investment-grade and asset-based finance • Collaborate with cross-functional teams to explore applications of AI and machine learning within the investment process • Contribute to ongoing innovation in risk analytics, valuation frameworks, and data infrastructure Qualifications • Bachelor’s or Master’s degree in a STEM, quantitative finance, or data-science field from a top-tier university (PhD a plus) • 3–5 years of experience developing quantitative models in Python (numpy, pandas, scipy, statsmodels, scikit-learn) • Strong background in statistics, econometrics, and financial modelling • Proficiency in SQL, Git, and Microsoft Office • Experience with stochastic modelling, Monte Carlo simulations, or credit modelling a plus • Exposure to generative AI applications preferred • Highly collaborative, detail-oriented, and execution-focused Compensation Base: 130k-160k Bonus: 20% - 30%