Lead Data Scientist: Private Banking Analytics

CFA Institute; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading financial institution in Singapore is looking for a Lead Data Scientist to manage predictive analytics for its Private Banking unit. The role involves designing and deploying machine learning models, ensuring transparency in recommendations, and adhering to model risk management standards. The ideal candidate has 8-12+ years of experience in regulated environments and a strong understanding of Wealth Management concepts. This position offers an opportunity to make impactful decisions backed by data and analytics.

Qualifications

• 8-12+ years of experience in deploying ML models.
• Proven track record in regulated environments.
• Deep functional understanding of Wealth Management.

Responsibilities

• Design and deploy production-grade models using Gradient Boosting frameworks.
• Implement advanced sampling techniques for imbalanced datasets.
• Utilize SHAP/LIME for transparent algorithmic recommendations.
• Architect complex feature sets from time-series data.
• Maintain adherence to Model Risk Management standards.

Skills

Predictive Modeling

Financial Feature Engineering

Domain understanding of Wealth Management

Explainability (SHAP/LIME)

Tools

Python 3.9+

Advanced SQL

Scikit-Learn

XGBoost

SHAP

Airflow

MLflow

Job description

A leading financial institution in Singapore is looking for a Lead Data Scientist to manage predictive analytics for its Private Banking unit. The role involves designing and deploying machine learning models, ensuring transparency in recommendations, and adhering to model risk management standards. The ideal candidate has 8-12+ years of experience in regulated environments and a strong understanding of Wealth Management concepts. This position offers an opportunity to make impactful decisions backed by data and analytics.