Manager, Quantitative Investment Analyst, Uob Asset Management

Singapore, Singapore

Job Description


Manager, Quantitative Investment Analyst, UOB Asset Management

Posting Date: 19-Mar-2023

Location: Raffles Place, Singapore, Singapore

Company: 3716

About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.
Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

About the Department
UOB Asset Management is a leading Asian asset manager with award-winning investment expertise in fixed income and equities. Headquartered in Singapore, we offer global investment management expertise to individuals, institutions and corporations from a regional network spanning Thailand, Malaysia, Brunei, Japan and beyond. Our comprehensive product suite includes innovative solutions covering retail unit trusts, exchange-traded funds and customised portfolio management services.

Job Responsibilities
We are expanding our quantitative strategies and investment solutions business and are looking for a Quantitative Analyst. You will play a leading role in supporting the multi-asset team through the conceptualization and development of quantitative analytical models and AIML programs which will be deployed in areas such as stock selection, risk management, tactical asset allocation, etc. Specific responsibilities include:

  • Work closely with the quantitative equity team to build and implement systematic active multi-factor equity strategies.
o Conduct Alpha signal research and backtesting.
o Portfolio construction using Barra & other risk models
o Monitor daily portfolio performance and risk exposure to protect performance and manage risk exposure
  • Work closely the Solutions and Strategy teams to develop and backtest macro signals.
o Risk regime models
o Factor risk premium selection models
o Asset allocation models
o Long Term Capital Market Assumptions
  • Develop customized portfolio monitoring and analytics tools for the team
  • Develop and manage the end-to-end lifecycle of analytics projects from data scoping, modelling to production (model deployment and maintenance).
  • To be recognized as a key member of the firm\'s regional data science community. This includes sharing of best practices, techniques and use of tools, environment.
Job Requirements
  • Working knowledge of finance, mathematics (statistics and stochastics) and programming combined with a good understanding of Artificial Learning and Machine Learning.
  • A basic knowledge of portfolio construction methodologies would be beneficial.
  • Able to organize, manage and track concomitantly multiple tasks and assignments.
  • A self-directed learner who can formulate and articulate independent opinions.
  • Initiative and critical reasoning are vital.
  • A genuine demonstrated interest in investments
  • A motivated team player
Be a part of UOB Family
UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate\'s age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a difference.

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Job Detail

  • Job Id
    JD1303477
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned