Permanent Responsible AI Data Scientist Singapore, Singapore

BNP PARIBAS, Singapore Branch; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading financial institution in Singapore is seeking a Senior Data Scientist to establish an AI Center of Excellence. This role requires strong experience in AI, machine learning, and a background in banking. Responsibilities include developing AI models, driving initiatives, and mentoring teams. A Master's or Ph.D. in relevant fields is required along with 5+ years of experience. The role supports diversity and sustainability initiatives.

Qualifications

• 5 to 7+ years of experience in data science, with at least 2 years in a senior or leadership role.
• Strong proficiency in machine learning frameworks and advanced technical expertise.
• Understanding of ethical considerations of AI in the financial sector.

Responsibilities

• Partner with leadership to build and expand the AI Center of Excellence.
• Drive AI initiatives by developing advanced machine learning models.
• Lead the design, development, and deployment of machine learning models.
• Work cross-functionally with teams to integrate AI solutions.
• Provide mentorship and foster a culture of innovation and knowledge-sharing.

Skills

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Statistical Analysis

Collaboration

Education

Master’s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics

Job description

We are seeking an experienced Senior Data Scientist with a strong background in AI and Data Science to join our Data Science team at BNP Paribas Wealth Management Asia. This is an exciting opportunity to play a pivotal role in establishing our Asia AI Center of Excellence (COE) under the leadership of the Chief Digital & Data Officer.

The key objectives of this role include:

• Define, prioritize & execute our AI strategy & plan, Maximize AI’s value creation
• Identify key technologies & partners to design & implement the entity’s AI governance
• Build its tech stack, workflows, processes & standards for development & industrialization
• Leverage the Group AI ecosystem to optimize synergies & re-use of common, standardized tech stacks
• Under a “One Bank” approach, develop collaborations with other Group entities (CIB, AM & Retail banks)
• Promote a “analytics” & “AI everywhere, for everyone” mindset for all BNPP Wealth Management staff

Primary Role Responsibilities:

• AI Center of Excellence Development: Partner with the Chief Digital & Data Officer and senior leadership to build and expand the AI Center of Excellence (COE)
• Industrialization of our AI Priorities: Drive AI-powered initiatives by developing advanced machine learning models
• AI Model Development & Deployment: Lead the design, development, and deployment of machine learning models
• Collaboration Across Functions: Work cross-functionally with teams to integrate AI solutions into various daily activities
• Leadership and Mentorship: Provide mentorship and foster a culture of innovation, knowledge-sharing, and continuous learning
• Data Strategy & Data Quality: Ensure that high-quality, accurate, and reliable data is available for building AI models
• AI Ethics & Compliance: Ensure that AI applications comply with regulatory requirements and ethical standards
• Continuous Model Monitoring & Optimization: Implement robust monitoring systems to track the performance of AI models
• Innovation & Research: Stay abreast of the latest advancements in AI, machine learning, and data science research

What is required for you to succeed?

• Education: Master’s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Experience: 5 to 7+ years of experience in data science, with at least 2 years in a senior or leadership role
• Advanced Technical Expertise: Strong proficiency in machine learning frameworks, deep learning, reinforcement learning, and natural language processing (NLP)
• Domain Knowledge: Strong understanding of banking and financial services, with a focus on areas such as wealth management, client behavior & analytics, risk management and fraud detection
• Leadership & Collaboration: Proven ability to lead cross-functional teams and influence key stakeholders
• Ethical & Regulatory Compliance: Understanding of the ethical considerations of AI and its regulatory landscape in the financial sector

BNP Paribas is committed to diversity and inclusion, and we encourage applicants of all backgrounds to apply. We are also committed to financing a carbon-neutral economy by 2050.