Quantitative Strategies Group Associate

Who We Are

Cross River is a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. Cross River is backed by leading investors and serves the world’s most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion. 

We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. While our company has tripled in size over the last three years, our strong sense of purpose led Cross River to be named to American Banker’s list of Best Places to Work in Fintech for the last 6 years. The reason for this success is simple – our nimble and collaborative family culture lives in every member of our growing team. Together we are at the forefront of technology and innovation, and we invite passionate, collaborative, and motivated high performers to join our expanding team.

What We're Looking For

The Quantitative Strategies Group (QSG) at Cross River is looking for a Quantitative Strategist to join its fast-growing team. The team sits within the Capital Solutions Group (CSG) and serves as a hub for quantitative modeling, research, analytics, and rapid prototyping for various functions across the bank. On a day-to-day basis, you will work on researching & building analytical/modeling methodologies used to evaluate credit investment opportunities.

Responsibilities:

• 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.

Qualifications:

• Master’s Degree in Financial Engineering, Math, Statistics, Computer Science, or any another quantitative field.
• Prior experience in ABS, Structured Credit, Private Credit is a 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 is a must.
• Ability to work well in a fast-paced environment. Detail-oriented, excellent communication skills – written & verbal

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Salary Range: $140,000.00 - $180,000.00