The Prime Financing QR team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to help the Prime business thrive.

In addition, we are providing on job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.

As an Associate in the Prime Financing Quant Research team', you will work with senior stakeholders in the Prime Finance businesses, as well as technology and risk teams, to drive the implementation of sophisticated tools/analytics and advance their risk/pricing workflow. This requires the development of new innovative models, as well as enhancements to existing models, that cover the areas below. A strong technology team will work alongside the quant team.

Job responsibilities

• Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books;
• Devise solutions for systematic book management, improving the overall stability of our collateral and its respective uses;
• Improve the risk & pricing workflow of our Synthetics desk through the development of innovative tools;
• Deliver quantitative analytics to the desks that drive decision making;
• Maintain adequate control functionality.

Required qualifications, capabilities and skills

• Advanced degree (Masters, PhD, or equivalent) in Math, Sciences, Engineering or Computer Science;
• Significant work experience in a related field;
• Analytical, quantitative and problem-solving skills;
• Excellent communication and presentation skills, in particular to senior stakeholders;
• Understanding of statistics and financial mathematics;
• Financial knowledge of Delta 1 and Equity Derivatives product;
• Software design and development skills, particularly in Python or C++.

Preferred qualifications, capabilities and skills

• Experience with Machine Learning modelling is a plus.