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HSBC Private Bank seeks to be the leading international private bank for business owners and their families. It provides clients with wealth, business and family succession solutions in the largest and fastest growing markets around the world. At HSBC Private Bank, we put our clients at the centre of everything we do.
Global Manager Selection - Fund & ETFs (GMS) is the designated Centre of Reference in charge of selection, research and approval of all funds and ETFs as well as selection of third party mandates, which are sold/distributed by various HSBC Group business such as Global Private Banking and Wealth management markets, as well as various other HSBC entities, across the globe. GMS is a global team, based in London and Bangalore, responsible for traditional asset classes encompassing Equity, Fixed Income, Multi-Asset and Sustainable/ESG solutions.
The team also centrally manages GBP&W’s relationship with key Asset Management Partners. The team works with a large number of key Asset management partners who have shown strong of capabilities across Product, People, Marketing, Servicing and Training to support key Funds and ETFs initiatives across the GPB&W markets.
Role Purpose:
Quantitative information is already an integral part of the fund selection process. To enhance and build out our quantitative due diligence capabilities, we are looking for a team lead with strong academic background and relevant experience in quantitative research and automation of investment processes. The individual should have strong understanding of financial markets and be well-versed in statistical analysis as well as data analytics and processing, including Big Data/Machine Learning, to help us employ them to solve real-world investment problems. The role would involve contributing critical data and analytics for the due diligence process such as performance attribution and factor analysis, but may also involve analysing structured and unstructured data sets which can be predictive of future fund performance and risk.
An entrepreneurial, start-up approach and willingness to take end-to-end ownership are key, as is the ability to collaborate and communicate with the team members and key stakeholders across the business.
The primary responsibilities include:
- Leading a team of quantitative analysts
- Conduct empirical analysis related to investment factors, liquidity, risk characteristics, scenario dependencies to ensure a detailed and rigorous due diligence process
- Design, develop, enhance, and test quantitative models for selecting funds
- Acquiring data from primary or secondary data sources and maintaining databases
- Identify valuable data sources and automate collection processes for the investment due diligence process
- Build predictive models and machine-learning algorithms
- Present information using data visualisation techniques