Treasury Quant Specialist

The individual will need to:

• Enjoy working in a fast pace, collaborative environment across multiple quantitative functions of the Treasury Group.
• Manage key user requests, translating technical specifications into data-driven models and automated reporting.
• Work with key stakeholders, including Operations and Technology, to develop, implement and deploy the aforementioned models and reports into the firm’s infrastructure.
• Assist in the development of a systematic process for cost efficiently allocating Millennium’s multi-asset portfolio across various financing counterparties within the region.
• Assist in the deployment of the Firm’s stress liquidity framework, which ensures the firm has sufficient capital in times of market stress.
• Assist in the development of a quantitative framework for allocating capital charges (based on capital consumption) to relevant portfolio managers.

Responsibilities

• Collaborate with quantitative modellers in the development of comprehensive and dynamic model (suite of models) for cost efficient portfolio optimization and allocation across multiple Financing Providers.
• Work independently to translate specific user requirements into quantitative models and automated reports. Collaborate with the Technology team to push these models and reports into production.  
• Work with team members to maintain the Firm’s stress liquidity framework.  This requires intimate knowledge of prime broker margin frameworks, drivers of cleared and exchange margin, terms in the firm’s legal agreements, trading patterns and the development of statistical models to predict changes in the quantitative factors over a fixed time horizon.
• Assist in the development and calibration of margin models (across multiple asset classes) to be used to calculate capital usage and subsequently a pass-through charge to portfolio managers based on the same.
• Prepare formal documentation of all models and processes in which the individual is involved.

Qualifications/Skills Required

• Degree in a quantitative discipline (e.g., Engineering, Statistics, Mathematics, Physics or Computer Science).
• Interest in the financial markets and hedge fund trading strategies (across all major asset classes)
• Ability to work independently and with minimal supervision.
• Strong knowledge of SQL at least one high-level language for quantitative modelling - Python preferred.
• Good communication skills.
• Prime Brokerage and multi-asset class knowledge a plus.