Quantitative Research Analyst London, England
Job description
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 Asset Management Quantitative Equity Team as Quantitative Research Analyst. The role holder will work with colleagues across various teams consolidating ESG (Environmental, Social and Governance) and climate data projects and contribute to the team's NetZero project. They will help the team continue to research and develop quantitative models and strategies as well as carry out regular and ad-hoc portfolio analysis, attribution and optimisation tasks.
In this role, you will:
- Assist with the innovation of ESG and Climate focus integration in equity factor models
- Participate in research and product development activities, including assisting in the development of quantitative investment products
- Conduct regular and ad-hoc rigorous portfolio analysis, construction, and optimization
- Bring data science-based techniques to the activities of Quant Equity
To be successful in the role, you should meet the following requirements:
- Some prior experience of ESG and Climate data research, analysis, and integration in Asset management context is essential for this role
- Experience of researching and building portfolio optimization applications with deep knowledge of the underlying algorithms
- A Bachelor’s degree / equivalent would be desirable
- Strong analytical and data manipulation skills
- Good team player who can work with global and local functional team members in different time zones and who can foster and maintain good relationships.
- Good presentation skills
- Prior Asset Management experience is preferred
This is a Hybrid working role with the base location as London. The successful candidate will have to have the ability to commute to this location.
You’ll achieve more when you join HSBC.
At HSBC we look to enable our employees to better balance their work / life priorities and have the flexibility required to meet challenging needs as they progress through different life stages. Where possible we will consider the following flexible working options: part-time working, job sharing, term-time working, and working from home and staggered hours. If in considering a role with HSBC, you have a need for some flexibility in your working arrangements please discuss this with the recruitment team in the early stages of the application process.
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.
