Hang Seng Bank Limited

Assistant Quantitative Research Manager

Hang Seng Bank Limited

HANG SENG INDEXES COMPANY LTD

Hang Seng Indexes Company Limited (‘Hang Seng Indexes Company’) manages and compiles the Hang Seng Family of Indexes, which cover stocks listed in Hong Kong and Mainland China. Our index series includes the Hang Seng Index, the Hang Seng China Enterprises Index and the Hang Seng TECH Index, as well as Stock Connect, Greater Bay Area and sector-related indexes. As at the end of 2021, assets under management in products passively tracking indexes in the Hang Seng Family of Indexes had reached a total of about US$44 billion.

Hang Seng Indexes Company is a wholly owned subsidiary of Hang Seng Bank. Our company is a team of professionals who strives for delivering quality, efficient and world-class index complier services to customers and financial institutions around the world.

To support our business growth, we are currently seeking high calibre professionals to join our Research team as Assistant Quantitative Research Manager. 
 

Principal responsibilities

  • Support the research and development of new indexes such as HSIL’s Factor, Strategy and Sustainability Indexes, backtesting of new index ideas, as well as preparing new index proposals;
  • Develop quantitative techniques and construct tools for index research and analytics;
  • Provide response to internal and external enquiries on new and existing indexes;
  • Participate in client meetings to explain index concepts and methodologies;
  • Contribute to research papers and other publications on quantitative research topics;
  • Assist periodic index review and rebalancing; and
  • Review the index methodologies to ensure they are up to standard and managed with the necessary governance

 

Requirements

  • University degree in Finance, Economics, Mathematics, Statistics, Engineering or quantitative disciplines;
  • Minimum 2 years of relevant work experience;
  • Demonstrate good understanding of financial markets and derivatives strategies;
  • Strong quantitative skills;
  • Expertise in some aspects of quantitative analysis is an advantage, e.g. factor modelling, risk attribution, machine learning algorithms, NLP, financial modelling;
  • Proficiency in Python, while having experience in Excel VBA, SQL and Bloomberg / Reuters / Factset / Wind;
  • Strong research writing, presentation and communication skills;
  • Capable to engage stakeholders / colleagues and work responsibly in a dynamic environment;
  • Proficiency in English, Cantonese and Putonghua;
  • Great sense of ownership and responsibility on job; and able to work independently

If you would like to explore other opportunities at Hang Seng Hong Kong, please visit www.hangseng.com/careers/ for details.

The health and safety of our employees and candidates is very important to us. Due to the current situation related to the Novel Coronavirus (2019-nCoV), we’re leveraging our digital capabilities to ensure we can continue to recruit top talent at the HSBC Group.  As your application progresses, you may be asked to use one of our digital tools to help you through your recruitment journey.  If so, one of our Resourcing colleagues will explain how our video-interviewing technology will be used throughout the recruitment process and will be on hand to answer any questions you might have.

All information provided by applicants will be used only for recruitment purposes and will be used strictly in accordance with the Bank's personal data policies, a copy of which may be obtained by the applicant upon request. Unless otherwise instructed in writing by the applicant concerned, applicants may be considered for other suitable positions within the Bank and its related companies. The personal data of unsuccessful job applicants may be retained for a maximum of two years from the date when the job application is rejected and such data may be retained for a longer period if there is a subsisting reason that obliges the Bank to do so, after which the personal data will be destroyed. 

More job information
Salary
Job Function
Work Model
  • On-site
Industry
Employment Term
  • Permanent
  • Full-time
Experience
  • 2 years - 20 years or above
Career Level
  • Middle management level
Education
  • Degree