Description

You will lead data science initiatives, applying quantitative modeling and analytics to drive investment, asset, and wealth management outcomes.

This role is hybrid.

Responsibilities

• Develop and deploy machine learning models including regression, classification, clustering, and time series forecasting.
• Design and optimize data pipelines using Python (Pandas, NumPy) and SQL for efficient data querying.
• Apply advanced analytics to solve complex problems within investment and wealth management domains.
• Maintain and improve existing quantitative models to ensure accuracy and performance.

Required Skills

• 12+ years of experience in data science, analytics, or quantitative modeling.
• Strong proficiency in Python, specifically Pandas, NumPy, and Scikit-learn.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Expert-level SQL skills for data extraction and manipulation.
• Proven track record in machine learning techniques: regression, classification, clustering, and time series forecasting.
• Domain expertise in investment management, asset management, or wealth management.

Preferred Skills

• Experience leading data science teams or projects in financial services.
• Advanced degree in Statistics, Computer Science, or quantitative field.

Key Skills

Education

Any Gradute