- Location
- Central Region (City Area), Singapore
- Workplace
- Onsite
- Type
- Full-time
- Department
- Education
- Seniority
- VP
- Experience
- 5+ years
- Source
- Workday
Description
About UOB
United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.
Job Description
Key Responsibilities
- Collaborate with data scientists, data engineers, technology and business/support units, to evaluate, solution and deliver AI and GenAI driven business use cases.
- Develop and successfully execute plans aligned with strategic project and business objectives.
- Develop performant AI and Gen AI capabilities through thoughtful research and experimentation.
- Develop and deploy AI and Gen AI applications with agile prototyping.
- Integrate AI and Gen AI capabilities and applications into the bank's ecosystem.
- Stay abreast of fast emerging AI and Gen AI technological advancements, industry best practices, architecture, software resources and paradigms.
- Engage and manage stakeholder interactions and expectations.· Provide deep expertise and advisory on AI and Gen AI to diverse stakeholders.
- Contribute to AI and Gen AI related validation, guardrail and benchmarking exercises.
Requirements
- Min Postgraduate degree in Data Science, Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles.
- Achieved consistent success in framing rigorous and data driven approaches to solve highly complex business use cases or academic problems.
- Min 5 years of advanced data science working experience, preferably in banking / financial services / consulting industry.
- Self-motivated team player, able to ideate innovative solutions and work independently.
- Proven record in developing AI applications using transformer models, boosting models, and other advanced techniques.
- Highly skilled and successful in end-to-end LLM deployment, with 2 years full-time experience. Demonstrable achievements is a must.
- Demonstrable expertise and experience in adjacent topics such as Agentic AI /Visual /Audio /Multimodal generation highly preferred.
- Python programming and large data handling abilities. Highly skilled with common data science and LLM packages such as Pytorch and LangChain.
- Experienced in general end-to-end data science solution delivery and assorted tools.
- Ability to communicate analytic findings clearly and convincingly to business.
- Skilful in agile project management practices.
- Experience with data visualization packages and/or tools a plus.
Additional Requirements
Be a Part of the 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