AVP, Data Scientist

UNITED OVERSEAS BANK LIMITED; Singapore; On-site; SGD 100,000 - 120,000; Full time

Job summary

A major bank in Singapore is seeking a candidate to develop and deploy Gen AI applications, collaborating with interdisciplinary teams. Ideal applicants will hold a postgraduate degree and have at least 5 years of advanced data science experience, particularly in the banking industry. Expertise in Python and LLM deployment is crucial. A strong focus on stakeholder management and innovative solutions is essential. Competitive salary offered.

Qualifications

• Minimum of 5 years of advanced data science experience in banking, financial services, or related fields.
• Self-motivated team player with innovative problem-solving skills.
• Demonstrable experience in end-to-end GenAI/LLM deployment.

Responsibilities

• Collaborate with various teams to deliver GenAI driven use cases.
• Develop and deploy Gen AI applications.
• Engage and manage stakeholder interactions.

Skills

Data science

Deep Learning

Python programming

Market Portfolio Optimization

Agile project management

Education

Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or related field

Tools

Pytorch

LangChain

Job description

Job Responsibilities

• Collaborate with data scientists, data engineers, technology and business/support units, to evaluate, solution and deliver GenAI driven business use cases.
• Develop and successfully execute plans aligned with strategic project and business objectives.
• Develop performant Gen AI capabilities through thoughtful research and experimentation, and thinking from first principles.
• Develop and deploy Gen AI applications with agile prototyping.
• Integrate Gen AI capabilities and applications into the bank's ecosystem.
• Stay abreast of fast emerging AI SOTA technological advancements, industry best practices, architecture, software resources and paradigms.
• Engage and manage stakeholder interactions and expectations.
• Provide deep expertise and advisory on Gen AI to diverse stakeholders.
• Contribute to Gen AI related validation, guardrail and benchmarking exercises.
• To enrich skillsets and increase exposure for our data scientists, each will also contribute in a secondary and significant task, in this case on Market Portfolio/Econometric Modelling.

Job Requirements

• Min Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles. AI related thesis/publications on GenAI topics highly preferred.
• 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 or research experience, preferably in banking / financial services / quant /consulting industry.
• Self motivated team player, able to ideate innovative solutions and work independently.
• Highly skilled and successful in end-to-end GenAI/LLM deployment, with 1.5 years full-time experience. Demonstrable achievements is a must.
• Strong and demonstrable expertise and experience in Deep Learning a must.
• Demonstrable expertise and experience in adjacent topics such as Agentic AI /Visual /Audio /Multimodal generation highly preferred.
• Passion and some expertise and experience in Market Portfolio Optimization, Econometric Modelling or Forecasting 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.
• Skillful in agile project management practices.
• Experience with data visualization packages and/or tools a plus.