Prime Financing Quant - VP level

£120,000 – £150,000 performance based bonus

Location: United Kingdom (London – London) Type: Permanent

VP Prime Financing Quant

London based

In this role you will be part of an expert quantitative modeling group. You will partner with traders, marketers, and risk managers across all products and regions, contributing to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.

Responsibilities:

• Work with senior stakeholders in the Prime Finance businesses, as well as technology and risk teams, to promote the implementation of sophisticated tools/analytics and advance their risk/pricing workflow.
• Devote special attention towards building robust data pipelines.
• Develop new innovative models, as well as enhancing existing ones.
• Implement and enhance existing data pipelines required by our various models / workflows.
• 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 promote decision making.
• Maintain adequate control functionality.
  

Requirements:

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

Reference: AMC/JME/PFQ123