Treasury Senior Quantitative Researcher
A leading asset management firm is seeking a Senior Quantitative Researcher to join its Treasury Quant team. This team plays a critical role in firm-wide portfolio construction, optimizing margin allocation across all asset classes, and enhancing the firm’s liquidity management.
Key Responsibilities:
Develop and implement risk-based models for margin allocation and optimization across various asset classes.
Continuously refine and upgrade margin allocation methodologies to improve efficiency.
Design and implement margin optimization processes tailored to different asset classes.
Enhance the analytics suite used by the treasury team for capital utilization and allocation management.
Analyze and approximate regulatory and house margin methodologies, including cross-margin approaches.
Collaborate with risk teams to leverage existing margin methodologies.
Develop tools to explain margin allocation and key drivers.
Work closely with Portfolio Managers and business leaders to refine margin attribution models.
Expand product coverage and methodologies for margin calculators and treasury-specific analytics.
Strengthen the quantitative framework for managing liquidity, cash, and collateral deployment.
Design, prototype, test, and implement risk-based margin models.
Key Qualifications:
Advanced degree (PhD or MS) in a STEM field.
Hands-on experience solving optimization problems, with expertise in at least one optimization engine (Mosek preferred).
Significant experience as a Quantitative Researcher in a front office, treasury, or risk team.
Strong modeling expertise with practical implementation experience.
Excellent programming skills in Python (including NumPy, SciPy, Pandas).
Proven ability to deliver asset-specific allocation and optimization libraries in Python.
Deep knowledge of Equities, Credit, and/or Commodities.
Prior experience in building a margin methodology is preferred.
Ability to manage multiple projects simultaneously in a fast-paced environment.
Innovative and adaptable approach to solving real-world financial problems.
Experience leading projects involving multiple teams, including Portfolio Managers, risk, and IT.