Python Job: Quantitative Equity Analyst

Quantitative Equity Analyst, HSBC Global Asset Management

Location: Birmingham

Some careers have more impact than others.

If you’re looking for a role where you can continue to make an impression, take the next step at HSBC where your contributions will always be valued.

Wealth and Personal Banking (WPB) is our new global business combining Retail Banking and Wealth Management; and Global Private Banking, to become one of the world’s largest global wealth managers with USD1.4 trillion in assets. Our dedicated colleagues serve millions of customers worldwide across the entire spectrum of private wealth, ranging from personal banking for individuals and families, through to business owners, investors and ultra-high-net-worth individuals. We provide products and services such as bank accounts, credit cards, personal loans and mortgages, as well as asset management, insurance, wealth management and private banking, that best suit our customers’ needs.

We are currently seeking an individual to join the Quantitative Equity Research team as Quantitative Equity Analyst. The team is responsible for designing the foundations of our quantitative equity proposition. They deliver model portfolios and are responsible for developing insights around model-driven investments as well as for the development of portfolio construction tools and proprietary risk models.

The role holder will undertake research into the investment process in Equities with a view to make them more robust and consistent. The person will be expected to assist improve and maintain the core research framework and related tools, conducting rigorous quantitative research with emphasis on portfolio optimization, risk modelling and signal research.

In this role, you will:

• Contribute to the scientific design and development of the global quantitative equity research team systems, research notes and products.
• Research and develop new analytic solutions and methods to directly improve firm’s suite of products and services.
• Conduct explanatory analysis on ESG / climate data and alternative data sources.
• Work closely with data engineers and technology team to build out end to end solutions.
• Author and prepare presentations, research reports and white papers to explain concepts and communicate findings with stakeholders as necessary in simple language
• Develop methods for data visualization and explore machine learning techniques in portfolio construction

To be successful in the role, you should meet the following requirements:

• An advanced degree (Master’s or PhD) in mathematical / scientific discipline (Engineering, Computer Science, Econometrics etc.) is essential for this role
• A strong understanding of mathematics and statistics with emphasis in linear algebra, probability theory, regression analysis and optimization.
• Strong programming skills preferably in R (otherwise experience in MATLAB or Python will be considered)
• Prior experience of performing on an in-depth research project, examining real-world data
• Experience of researching and building portfolio optimization applications with deep knowledge of the underlying algorithms would be desirable
• Some experience of researching and building risk modelling applications with focus on covariance estimation techniques would be desirable
• Ability to think independently and creatively approach data analysis and communicate complex ideas clearly

This is a Hybrid working role with the base location as Birmingham. The successful candidate will have to have the ability to commute to this location.

You’ll achieve more when you join HSBC.

HSBC is committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We are proud members of the Disability Confident Scheme, and will offer an interview to disabled candidates who meet the minimum criteria for the role. If you would like to receive any information in a different way or would like us to do anything differently to help you apply for our roles, please contact our Recruitment Helpdesk:

Email: [email protected]
Telephone: +44 2078328500

Within the workplace you will have access to various employee resource groups which aim to promote and achieve a healthy work / life balance and support our diversity ambitions. HSBC has processes in place to avoid nepotism. This means we will avoid circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.