Description

You will design, build, and maintain data pipelines and architectures to support regulatory reporting requirements.

This role is on-site.

Responsibilities

• Design and develop large-scale data pipelines using Python and GenAI models for regulatory reporting.
• Analyze large datasets to extract insights that meet specific regulatory reporting needs.
• Develop and deploy AI/ML models, focusing on NLP and machine learning techniques for regulatory applications.
• Troubleshoot pipeline issues, optimize processing performance, and resolve data quality problems.
• Maintain accurate documentation for data pipelines, architectures, and deployed models.

Required Skills

• 5+ years of experience in data engineering, with a focus on Python and GenAI technologies.
• Strong experience working with ChatGPT and other GenAI models.
• Expert-level SQL skills and experience handling large datasets.
• Experience with Unix operating systems.
• Familiarity with the Axiom vendor tool for regulatory reporting.
• Strong problem-solving abilities with high attention to detail.

Preferred Skills

• Experience with Cohere models.
• Familiarity with container-based technologies like Docker or Kubernetes.

Key Skills

Education

Any Graduate