Start Date
Immediate
Expiry Date
18 Jul, 25
Salary
0.0
Posted On
18 Apr, 25
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Power Bi, A/B Testing, Optimization, Value Creation, Coe, Wealth Management, Synergies, Fraud Detection, Knowledge Sharing, Collaboration, Model Development, Predictive Analytics, Financial Services, Models, Data Privacy, Leadership, Accountability, Decision Making, Risk
Industry
Financial Services
What is this position about?
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. In this high-impact role, you will leverage cutting-edge machine learning and AI techniques to drive data-centric innovations in wealth management with the following key objectives:
Your expertise will be crucial in shaping the AI strategy, developing advanced analytics models, and ensuring that AI technologies are embedded seamlessly into various client-facing and business functions. This is a chance to be part of a transformative journey as we set the foundation for AI-driven solutions in our Bank.
Primary Role Responsibilities
Partner with the Chief Digital & Data Officer and senior leadership to build and expand the AI Center of Excellence (COE), setting the strategic direction for AI adoption across the bank. Champion best practices, governance, and ethical AI frameworks, ensuring that AI initiatives align with the bank’s broader digital transformation objectives.
Drive AI-powered initiatives by developing advanced machine learning models that tailor banking services and financial advice to the unique preferences, behaviors, and needs of each client and staff. Utilize predictive analytics to forecast client behaviors, market trends, and potential risks. Build advanced models for credit risk scoring, churn prediction, and portfolio optimization that enable proactive decision-making and enhance financial outcomes. Leverage deep learning, recommender systems, and predictive analytics to deliver individualized experiences that improve overall satisfaction and loyalty.
Lead the design, development, and deployment of machine learning models, including deep learning, reinforcement learning, and natural language processing (NLP), to address business challenges in client segmentation, wealth management, fraud detection, and client experience optimization.
Work cross-functionally with teams in Front Office, Investment services, Sales Management & Marketing, Credit, Control functions (Risk, Compliance, Operations etc.) to integrate AI solutions into various daily activities. Ensure that AI models are seamlessly embedded into client-facing platforms, mobile applications, and backend systems to provide a cohesive experience across all touchpoints.
Provide mentorship and foster a culture of innovation, knowledge-sharing, and continuous learning with peers & colleagues. Bring the entire workforce on the journey of AI for upskilling/ re-skilling.
Ensure that high-quality, accurate, and reliable data is available for building AI models. Establish best practices for data collection, data cleaning, and data governance. Collaborate with other data-related functions to build scalable data pipelines for model training and deployment.
Ensure that AI applications comply with regulatory requirements and ethical standards, particularly in the context of Wealth Management, where sensitive client data and privacy concerns are paramount. Work with legal and compliance teams to ensure transparency, fairness, and accountability in AI model outputs.
Implement robust monitoring systems to track the performance of AI models and adjust for evolving client needs, business requirements, and market conditions. Optimize models in real-time based on feedback loops and ongoing performance data.
Stay abreast of the latest advancements in AI, machine learning, and data science research. Apply cutting-edge techniques to further improve personalization algorithms, fraud detection, and other AI-powered banking solutions.
What is required for you to succeed?
Master’s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.
5 to 7+ years of experience in data science, with at least 2 years in a senior or leadership role, preferably in financial services, banking, or technology sectors. Experience with AI implementation/industrialization in a client-centric environment (e.g., personalization, recommendations) is a strong advantage. Good knowledge of agile methodologies, design thinking, Test&Learn & A/B testing approaches
o Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and libraries for model development.
o Deep expertise in deep learning, reinforcement learning, and natural language processing (NLP), particularly for developing recommendation systems and personalization models.
o Strong programming skills in Python, R, and SQL. Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Google Cloud, Azure).
o Expertise in building and optimizing end-to-end machine learning pipelines and managing model deployment at scale.
o Good knowledge in Generative AI specific skills: prompt engineering, RAG approaches, agentic AI, automated robustness and performance evaluation, production monitoring
Strong understanding of banking and financial services, with a focus on areas such as wealth management, client behavior & analytics, risk management and fraud detection.
Proven ability to lead cross-functional teams and influence key stakeholders. Excellent communication skills to articulate complex technical concepts to non-technical audiences
Understanding of the ethical considerations of AI and its regulatory landscape in the financial sector. Experience in ensuring models comply with data privacy and GDPR regulations.
Experience in defining AI strategies and embedding AI into an organization’s core functions. Ability to assess business needs and translate them into actionable AI-driven solutions.
Preferred Skills:
About BNP PARIBAS
As the leading European Union bank, and one of the world’s largest financial institutions with an uninterrupted presence in the region since 1860, BNP Paribas offers a wide range of financial services for corporate, institutional and private investors spanning corporate and institutional banking, wealth management, asset management and insurance.
We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.
BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.
https://careers.apac.bnpparibas/
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More information
BNP Paribas - Diversity & Inclusion Journey
BNP Paribas - The Bank Of Green Changes
Award Obtained
BNPP has won Top employer Europe award in a 10th consecutive yea
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. In this high-impact role, you will leverage cutting-edge machine learning and AI techniques to drive data-centric innovations in wealth management with the following key objectives:
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