AVP/ VP, AI/ML Model Data Modeler, TW Data Chapter

Business Function and AI/ML Led Banking

As the leading bank in Asia, DBS is in a unique position to help our customers realize their dreams and ambitions. As a market leader in the consumer banking business and Enterprise customer business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, payment, loan, credit cards and personal loans, to help our customers realize their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.  For that, we also develop the best employee journey and keep enhancing our customer journey leverage data and insight and digital as to develop the best and most joyful journey for our employee and customers. AI/ML fueled bank is our goal and core values.

About the Role

• Develop and deploy AIML (Artificial Intelligence and Machine Learning) models for specific business applications. Apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python and optimize and scale models for performance, accuracy, and efficiency.
• Work with large datasets, perform data preprocessing, AI feature generation, and model evaluation.
• Spot opportunities where AIML can support and prioritize the implementation for the team accordingly.
• Knowledge in GenAI and able to support GenAI roll out use case together with regional GenAI team focus on prompt engineering and model monitoring.
• Increase the transparency of the AIML / GenAI capabilities and promote AIML culture across different business units.

Technical and Behavioral Skill Requirements

• Master’s or bachelor’s Degree or above in computer science, mathematics, statistics, business analytics, physics, or related disciplines
• A proven record of a strong foundation in Machine Learning, data science, and software engineering. Ideally with 8+ years of data science/analysis project experience in Machine Learning and AI data modeling and embed critical thinking and ability to communicate complex analysis/models across a diverse team. 
• Champions a collaborative mindset and a drive to learn, iterate, and improve.
• Plus - Ability to explain results using Tableau or other visualization tool
• Plus – experienced in Banking and Financial industry
• Excellent software skills (Python, SQL, Pyspark) and knowledge in design patterns and code optimization. Familiarity in libraries such as Pandas, TensorFlow, XGBoost etc is also critical.
• Strong Mathematics and statistics skills with experiences with ability to do model evaluation, feature importance and Bias/ Variance tradeoff.
• Machine Learning knowledge on knowing how models work and when to use them include core ML Algorithms (supervised and unsupervised and Advanced ML include Deep Learning, NLP and recommendation systems.)
• Model evaluation and experimentation skills and experience as to validate models using cross validation, A/B testing, ROC/ AUC etc.

Location:

Honhui A-12F

Job:

Analytics

Schedule:

Regular

Employee Status:

Full time