Bank of America Merrill Lynch is one of the world’s leading investment banks. In EMEA, we have a number of teams focusing on quantitative finance for quants who specialize in the application of mathematical and statistical methods, such as numerical or quantitative techniques, to financial and risk management. Teams include Counterparty Credit Risk Analytics, Quantitative Solutions Group and Global Banking and Markets Middle Risk Management.
A career in quantitative analytics at Bank of America Merrill Lynch offers team members the potential to work across multiple businesses, product areas and asset classes – a dynamic career trajectory within a single firm. From a quantitative career perspective, consider the following important areas of work and examples of interesting opportunities we offer: identifying and quantifying risks, forecasting the evolution of risk drivers, developing behavioural and valuation models, performing strategic analyses for decision support, implementing models and processes, validating and testing models and strategies, managing data for strategic value, visualization of data & analytics and Implementing strategic communication strategies and approaches.
Bank of America Merrill Lynch’s strategy is to grow responsibly by being customer-driven, managing risk well, and delivering for our shareholders. This requires great people, with supporting development programs and a dedication to being a great place to work.
- Next start Date: Tuesday 1st October 2019
Quantitative finance is moving into a new era. Traditional quant skills are no longer adequate to deal with the latest challenges in finance. The Machine Learning Institute Certificate offers candidates the chance to upgrade their skill set by combining academic rigour with practical industry insight.
The Machine Learning Institute Certificate in Finance (MLI) is a comprehensive six-month part-time course, with weekly live lectures in London or globally online. The MLI is comprised of 2 levels, 6 modules, 25 lecture weeks, lab assignments, a practical final project and a final sit down examination using our global network of examination centres.
This course has been designed to empower individuals who work in or are seeking a career in machine learning in finance. Throughout our unique MLI programme, candidates work with hands-on assignments designed to illustrate the algorithms studied and to experience first-hand the practical challenges involved in the design and successful implementation of machine learning models. The MLI is a career-enhancing professional qualification, that can be taken worldwide.