Quantitative Strategies Associate

You will: Work closely with deal teams in evaluation of opportunities. Research and build analytical as well as modeling methodologies used. Also responsible for delivery all analytical artifacts. Own, enhance and build upon current suite of quantitative tools and models. This involves finding quantitative solutions to problems often requiring engage in quantitative research, evaluate new methodologies & writing production-ready code for a specific portfolio coverage within broader consumer credit asset class. Play a key role in championing and promoting Quantitative Investment by systematically introducing quantitative methods, tools and techniques to value add in the investment management lifecycle. Research and implement different type of risk and return measures. Work with the Head of Quantitative strategy to formulate novel investment ideas for multiple investment objectives- own the entire lifecycle of ideation, back testing, deployment and monitoring. Develop analytical solutions and tools to support the Trade Desk with pricing requests & ad-hoc analysis for Live Deals. Deliver other portfolio management tools, reports, metrics and data science products as needed. You have: Excellent communication, native level in both English and Hebrew – Must Master’s degree in financial engineering, Math, Statistics, Computer Science, or any another quantitative field Prior experience in ABS, Structured Credit, Private Credit – Must Experienced in use of both Machine Learning and Quantitative Finance techniques for fixed income/ credit modeling, investment management 3-5 years' experience in Quantitative Finance – specifically in structured credit. Specific experience in Private Credit will be highly regarded Fluency in Excel & Programming - Python & SQL– Must Ability to work well in a fast-paced environment Please send resumes to [email protected]