Quantitative Research – Quantitative Research – Prime Finance Synthetics Desk – Vice President

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.

As a Vice President in the Quantitative Research (QR) for Prime Synthetics business, you will identify opportunities to transform, automate and optimize our trading operations and to define and implement cutting-edge next generation analytics to support this business transformation. We cover Prime Finance and Clearing (PFS) businesses and work closely with traders to develop data-driven solutions such as algorithmic trading signals and strategies, risk models, portfolio optimization – and to combine them into automated trading processes or trading algorithms and integrate them with the whole PFS eco-system.

Communication skills and drive are critical for this role as we expect the candidate to actively engage with the business and act as a culture carrier for modern data-driven methods and business automation.

Job responsibilities:

• Work closely with Prime Synthetics Trading desks to build analytics and data-driven processes that automate and optimize risk and inventory trading quantitatively. This includes: alpha research for portfolio optimization, risk hedging and client analytics
• Build trading analytics and algorithmic trading strategies such as portfolio optimization, inventory trading strategies, risk hedging strategies for the Synthetics trading desks.
• Identify business opportunities and contribute to the entire lifecycle from idea generation to production: perform research, design prototype, implement analytics and strategies, monitor daily usage and analyze performance
• Support trading activity by investigating model and algorithm behavior (scenarios and post trade analysis, historical behavior)
• Devise hedging and trading strategies and build execution logic

Required Qualifications, Capabilities and Skills

• PhD or Master’s Degree in a quantitative discipline from a top-tier institution
• Experience in systematic quantitative trading in Equity or related asset classes
• Strong written and verbal communication skills, ability to convey the ideas behind complex research in a clear and precise manner
• A thorough understanding of algorithmic trading and knowledge of Delta 1 & Equity Derivatives product
• Good expertise in statistical modelling & optimization, including standard models, linear, convex & conic optimization)
• A strong coding background with proficiency in Python and relevant quantitative packages (numpy, pandas). Ability to manipulate and analyze complex, large scale, high-dimensionality data from multiple sources. Knowledge of KDB/Q expected.

Preferred Qualifications Capabilities and Skills

• Experience with Machine Learning modelling is a plus.