Job description
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.
HSBC Asset Management, the investment management business of the HSBC Group, serves HSBC’s worldwide customer base of retail and private clients, intermediaries, corporates and institutions invested in both segregated accounts and pooled funds. HSBC Asset Management fulfils its purpose of connecting HSBC’s clients with investment opportunities around the world through an international network of offices in approximately 30 countries, delivering global capabilities with local market insight.
We are currently seeking an experienced Quantitative Investment Developer to join our brand new Solutions Analytics and Research team to support both technology developments, business growth and transformation of the Global Solutions team.
Our team is responsible of designing proprietary analytics that support the engagement of Solution strategists with clients and help them positioning HSBC AM investment capabilities in the context of Insurance, Climate, Pension, and Wealth activities.
In this role, you will:
- Be in charge of building state of the art simulations tools, quantitative models and coding, or replicating any type of the following concepts:
- High-performance simulations engine and analytics
- Climate–based modelling
- Optimization Techniques for Asset Allocation, and portfolio construction
- Global Asset Classes risk modeling based on risk neutral and real world models
- ALM Techniques for Liabilities Modeling to support insurance and pensions funds clients
- Derivatives Modeling and Pricing Tools
- Intuitive research APIs leveraging cloud computing and cutting-edge visualizations
- Connect and collaborate with the rest of the Global Solutions team to make sure that their business priorities are well reflected in the Solutions Analytics developments
- Collaborate with various stakeholders like HSBC AM Analytics developers, and project managers to complete, thoroughly test, and deliver in a timely manner on the Solutions Analytics platform roadmap
- Build and maintain a close relationship with Solutions Strategists and HSBC AM Sales team to ensure that clients simulations expectations and needs are well reflected in the roadmap of the Solutions Analytics developments and are delivered
To be successful in the role, you should meet the following requirements:
- BS/MS/PhD in Mathematics, Computer Science, Physics or equivalent
- Strong knowledge of quantitative modelling including: asset risk models including alternatives, climate, and quantitative strategies
- Experience in building Optimal Asset Allocation,
- Experience with Quantitative Finance (Stochastic Calculus, Asset Pricing Theories, and Portfolio Optimizations)
- Proficiency in Python
- Highly Business Driven
- Committed to intellectual integrity, transparency, and openness
- 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.