At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
Goldman Sachs is a world leader in developing quantitative and technological solutions to complex business problems. Working side by side with the firm’s trading, sales and investment management professionals, our quantitative and technical professionals use their training to create financial products, advise clients on transactions, measure risk and identify market opportunities.
We believe who you are makes you better at what you do. We seek out people with all types of skills, interests and experiences. Even if you have never imagined a career in finance, there’s a place for you here. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities.
Make things possible at goldmansachs.com/careers
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.
Around the world, growth is bringing new prosperity; businesses are pioneering new trade routes; and new centres of wealth and influence are emerging. Throughout its history, HSBC employees have been dedicated to connecting customers to this growth, enabling business to thrive and economies to prosper. With operations in 65 countries and territories, serving more than 40 million customers in both established and emerging markets, HSBC are well positioned to create sustainable growth whilst serving their customers.
HSBC offers a number of opportunities in Quantitative Finance through Front Office, Risk and Finance such as derivatives pricing, new products development, risk factors modelling and prediction, valuation models definition and implementation. Well established technics as well as innovation such as Machine Learning are utilised across the group.
With more than 100 languages spoken across the firm, diversity is in our roots. HSBC was founded more than 150 years ago to finance trade between Europe and Asia, and we continue to bring different people and cultures together. As a business operating in markets all around the world, we believe diversity brings benefits for our customers, our business and our people. We want a connected workforce that reflects the communities where we operate and helps us meet the needs of customers from all walks of life. Different ideas and perspectives help us innovate, manage risk, and grow the business in a sustainable way – and difference is celebrated within our brand.
That’s why we hire, develop, and promote employees based on merit and provide an open, supportive, and inclusive working environment. We also provide tailored training and support to help employees flourish in their chosen career path – bringing to life their brand promise: together we thrive.
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.