Quantitative Trading & Research - Equity Derivatives Exotics - Analyst

As an Analyst for the Equity Derivatives Exotics QTR team, you will make extensive use of quantitative techniques, including machine learning, to deliver end-to-end solutions for the business. This includes introducing a systematic framework to develop derivative products, strengthen risk and P&L control and facilitate lifecycle management, developing derivative pricing and lifecycle models, as well as identifying and monitoring associated model risks.

It is particularly important for this role, that you are a disciplined developer, adhering to the highest standard of development, testing, deployment life cycle, working with the broader QTR team and with technology.

- Develop a framework and key components to develop derivative products including life cycling and model validation, using dependency-graph programming and Python language. - Model derivative products using C++ - Python hybrid programming to meet business requests. - Drive payoff innovation using the product design framework and machine learning techniques. - Streamline product review under the product design framework and provide clear model documentation to facilitate model approvals. - Evaluate quantitative methodologies including identifying and monitoring model risks associated with derivative valuation models. - Support trading activities by explaining model behavior, identifying major sources of risk in portfolios and carrying out scenario analyses.

- Master degree in a quantitative field from a top university. - Strong programming skills in C++, Python and numerical packages - Experience with statistical analysis and machine learning. - Experience with derivatives pricing models and equity derivatives products. - Solid understanding of the application of Monte-Carlo simulation and finite-difference PDE in derivative pricing. - Ability to communicate effectively with business stakeholders. - Prior experience in a front-office quantitative research role. - Experience or good knowledge in dependency-graph programming.

- Knowledge of risk management frameworks and regulatory requirements.