VP, Lead Data Scientist / Data Science Manager, UOB Asset Management

VP, Lead Data Scientist / Data Science Manager, UOB Asset Management

Posting Date: 08-Sep-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
As the Lead Data Scientist, you will be part of the Digitalisation and Data Department and lead the data science and visualisation team and is responsible for overseeing the activities of the junior data science team ensuring proper execution of duties and alignment with the business's overall vision. You will be responsible for the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence the improvement of the business's performance by enabling informed decision-making.

Responsibilities:

• Supervisory: You will be leading innovation within the business and, as such, defines how the business creates additional value through the utilization of its data assets and analytics.
• Strategy: Responsible for continuously improving the business's data and analytics operating model, creating industry-leading performance through the leveraging of new and creative data sources, and employing the latest tools, infrastructure, and techniques in machine learning.
• Collaboration: You are highly collaborative and work closely with other data and analytics members in the department and business teams in both the local and regional offices. Lead the community of data and analytics practitioners through sharing sessions and bringing in the 'outside-in' perspective to the organisation. Be the liaison to the UOB Group DMO team on UOBAM's analytics projects.
• Analytics Development: You will scope, design, and drive experimental advanced analytics development projects and run A/B tests on solutions to evaluate changes in the business's product/services. You will match and optimize algorithms that are fundamental to the business's products/services identifying better matches that will ultimately improve the consumer experiences. You will lead or coordinate these prototype developments, productionize and manage these analytics projects.
• Knowledge: You will need to have and maintain a deep understanding of the business trend and advanced analytics core concepts that is very dynamic. This will involve initiating and conducting exploratory data analyses and experimental designs, which will help the business better understand trends and behaviour within these markets and settle on the most suitable strategies to drive success and achievements of goals and targets.
• Responsible for analytics solutions governance and their compliance with regulatory requirements (e.g. FEAT)
• You are to ensure that projects have proper documentation and alignment to the operating model, track progress, and perform prioritization, if necessary.

Job Requirements

• Minimum Master's degree in Machine Learning, Mathematics, Computer Science/Engineering, Applied Statistics or related discipline with at least 8 years total work experience (financial sector working experience is a plus) and at least 6 years of proven experience as a Senior Data Scientist or similar role.
• Highly skilled in statistical and modelling techniques, packages, and familiar time-series analyses and NLP techniques.
• Proven ability to understand business challenges and create effective analytics and AI/ML solutions to address business needs.
• Proven and successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses that positively impact business performance.
• Able to communicate complex quantitative analysis concisely to both technical and non-technical audiences. Also, communication of information must be clearly articulated between the collaborating parties and must be able to convey important messages to junior data science personnel to ensure proper execution of duties.
• Highly proficient and experienced in various programming and scripting languages such as Python, Perl, VB, Java, and SQL.
• Experience in using and architecting advanced data analytics deployments using platforms such as AWS Sagemaker, or similar.
• Excellent team-builder and result-oriented, including the ability to establish and maintain effective working relationships with all levels within an organization, fostering collaboration internally/externally with vendors and staff.
• You will also have to draft various reports and presentations that will be used by senior management and executives for decision-making and strategy development. Hence, the candidate should have good skills in using Ms Word, Ms Excel, PowerPoint, and Outlook.
• You will need to have good skills in SQL server reporting services, analysis services, QlikSense, integration services, or any other data visualization tools.
• You will also need to be technologically adept and especially demonstrate an understanding of databases and computer software.
• Proactive and self-driven requiring minimal supervision, open and adaptable to change, being a creative and strategic thinker, having innovative problem-solving skills, being highly organized, can handle multiple simultaneous tasks prioritize and meet tight deadlines, and demonstrate calmness in times of uncertainty and stress.

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.