They develop intuitive and relevant tool and analytics to optimize business leaders' decision making and convert data-driven insights into action to improve traded volume and risk turnover velocity by embedding those analytics into simple front-line sales and trading workflow tools.
The team also works on pricing and counterparty engagement for several risky portfolio trades across the global credit trading franchising. Moreover, they support the risk and reporting infrastructure for an active flow trading universe of 30+ traders.
As a front-office Strat on a quickly growing team, you will be at the forefront of a data-driven initiative to optimize decision making across multiple asset classes. You may be building a chatbot that uses Bayesian inference and Natural Language Processing to suggest potential trades, or designing metrics that analyze inquiry and trading activity to enhance client relationships. At times you will be asked to step into the high-pressure environment of the trading floor and at others you will be called upon to guide the decisions of leadership. Whether your interests fall in machine learning, business optimization or full stack development, you will find your calling amidst our diverse team.
This role will draw upon your knowledge of programming and mathematics: you will be challenged to rapidly prototype early-stage solutions and build models-e.g., forecasting the trades and themes our clients may be interested in or predicting the daily trade volume of a bond. Data-driven insights from usage patterns and user feedback will drive you to condense your work into simple and efficient real-time workflow tools. You will also be required to think strategically on a higher level, proposing new business metrics or suggesting alternatives. As you gain expertise in the dynamics of the trading business, you will have the opportunity to dive deeper into your areas of interest.