Assistant Vice President, Data Scientist, UOB Asset Management

Employer
United Overseas Bank
Location
Singapore, Singapore
Salary
Competitive
Posted
30 Jul 2022
Closes
13 Aug 2022
Ref
16119814
Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Assistant Vice President, Data Scientist, UOB Asset Management

Posting Date: 27-Jul-2022

Location: Raffles Place, Singapore, SG

Company: UOB Asset Management Ltd

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
  • Build and implement advanced machine learning models for problem statements related to the investment research and management process, customer analytics and process improvements/optimization.
  • Research, develop and evaluate advanced algorithms and implementations in the application of Time Series Forecasting and Natural Language Processing.
  • Work closely with business users, data scientists and the technology team to develop scalable analytics solutions with tangible business benefits
  • Translate business needs into problem statements, architect analytics solutions and communicate results and learnings to both technical and non-technical stakeholders.
  • Develop and manage the end-to-end lifecycle of analytics projects from data scoping, modelling to production (model deployment and maintenance).
  • Ensure analytics and machine learning solutions compiles with the internal modelling framework and MAS Fairness, Ethical, Accountability and Transparency (FEAT).
  • As a member of the CoE, to provide technical expertise to business teams locally and across regional offices that gears towards building a sustainable data science community. This includes sharing of best practices, techniques and use of tools, environment.
  • Contributes to the team in refining standards and processes to ensure objectives are met and having the proper governance across AI/MLM deployments.


Job Requirements
  • Minimum Bachelor's degree in Data Analytics, Business Analytics Data Science, Applied Statistics or related discipline with at least 5 years total experience in the finance industry and at least 3 years of relevant experience in building analytics solutions.
  • Proven ability to understand business challenges and create effective analytics and AI/ML solutions to address the business needs.
  • Able to communicate complex quantitative analysis in a concise manner to both technical and non-technical audience.
  • Skilled in Python, Scala and SQL.
  • Experience in using data analytics platforms such as AWS Sagemaker, or similar.
  • Experience in time series and Natural Language Processing solutions development is desirable.
  • Fast learner and resourceful, enjoy analytical work with attention to details and proactive in providing solutions.
  • Excellent team skills, including ability to establish and maintain effective working relationships with all levels within an organization, fostering collaboration internally/externally with vendors and staff.


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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