Overview
Data Scientist role in Financial Crime Operations using data analysis and machine-learning model-driven decision support for payment screening and sanctions.
What you'll do
- Identify, collect, and extract data from internal and external sources.
- Clean, wrangle, and transform data to ensure quality for analysis.
- Develop and maintain data pipelines for automated data acquisition and processing.
- Design and run statistical and machine-learning models to analyze patterns, trends, and relationships.
- Build predictive models to forecast outcomes and identify risks and opportunities.
- Perform daily analysis of large-scale transactional datasets and validate data quality.
- Create analytical outputs, automation support, and MI reporting; communicate insights to stakeholders.
What you'll need
- In-depth technical knowledge and experience in the assigned area of expertise.
- Thorough understanding of underlying principles and concepts within the area of expertise.
- Write high-quality code in Python and SQL for extraction, transformation, and analysis.
- Visualize data using Power BI and Tableau.
- Construct robust pipelines combining multiple data sources.
- Create and maintain analytical tools to generate insight, recognize patterns, and predict behavior.
- Use analytical methods/techniques suited to data challenges.
Details
Read the full description and apply on the company’s own careers page.