Head Quantitative Analyst

Company Description Archelyon is developing a proprietary tech-enabled and algorithmically-driven marketplace for asset securitization with commensurate innovative risk management structuring and trading. The startup is aiming to change the asset securitization market structure with an initial focus on US residential mortgages.
Role Description The Head Quantitative Analyst will be an exceptionally experienced Chief Quant who is expected to hit the ground running by demonstrating the ability and capacity to assimilate the core foundations of the Archelyon value propostion. The successful applicant will take ownership of all quantitative aspects of Archelyon's innovation through rigorous structuring, development and continuous evolution.
This is an opportunity to join the early-stage team that will act seamlessly to accelerate the introduction and productization of Archelyon to a market that has been seeking out-of-the-box asset securitization solutions for almost 20 years.
Archelyon founders are interested in bringing on board the ideal and most effective individual given the early stage of the startup. As such, only practitioners with relevant senior level experience who can operate with a high degree of autonomy should apply.
Compensation will initially be equity based and be discussed with applicants on a case-by-case basis.
The position will report to the Chief Product & Strategy Officer.
Qualifications
Strong quantitative foundation with advanced expertise in Statistics and Mathematics, and the ability to apply these disciplines to complex financial problems.
Deep experience in Market Risk and Quantitative Analytics, including model development, validation, and stress testing for portfolios and trading strategies.
Excellent Analytical Skills, with proven capability to interpret large data sets, identify key drivers, and communicate insights in a clear, structured manner.
Advanced proficiency in relevant programming languages and tools (e.g., Python, R, MATLAB, SQL) for model implementation, data analysis, and automation.
Experience leading quantitative teams or projects, with strong mentoring, stakeholder management, and cross-functional collaboration skills.
Master’s degree or PhD in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, Computer Science, or a related discipline.
Familiarity with regulatory expectations, model risk management frameworks, and best practices in documentation and governance.

Work arrangement
Yes