Description

Lead the development and deployment of analytical models to support Investment Management business operations.

Responsibilities

• Build and deploy predictive models using machine learning algorithms and statistical techniques to identify patterns in structured and unstructured data.
• Create and maintain an analytics ecosystem for data integration and model operationalization.
• Translate business requirements into technical specifications and provide technical direction to a development team of 2-4 people.
• Communicate technical results and insights to business partners through data visualizations.
• Mentor and train offshore resources while assisting in the evaluation of new data science technologies and frameworks.

Required Skills

• 8+ years of experience in data science and analytics.
• Expertise in Python, PySpark, and SQL.
• Hands-on experience with Azure, Snowflake, and Databricks.
• Proficiency in machine learning algorithms including decision trees, regression, neural networks, clustering, and time series analyses.
• Experience working within the Investment Management or Financial Services domain.
• Ability to work with both structured and unstructured data sources.
• Strong communication skills for interacting with client stakeholders.
• Experience with Agile methodologies.
• Engineering degree or advanced degree in a quantitative discipline such as statistics, computer science, or mathematics.

Preferred Skills

• Experience with Power BI or Tableau for data visualization.

Key Skills

Education

Any Graduate