Description

In this role, you will be at the forefront of developing and optimizing data pipelines and AI-driven solutions, collaborating with diverse teams to ensure that engineering efforts align with strategic investment goals.

Requirements

• •Extensive professional experience in Python
• •Deep proficiency in Pandas, NumPy, Django, Flask, and FastAPI
• •Expertise in designing and maintaining large-scale data pipelines
• •Experience with Airflow and containerization technologies
• •Strong knowledge and hands-on experience with SQL, Snowflake, and Databricks
• •Proven ability to manage and optimize AWS infrastructure
• •Experience with CI/CD and infrastructure as code (Terraform)
• •Strong interest in AI engineering
• •Experience with integrating LLMs into production environments
• •Track record in building and maintaining platforms with high volumes of data
• •Previous experience within asset management or quantitative finance
• •Familiarity with financial data and investment analysis principles
• •Experience training and operationalizing large ML models
• •Experience deploying and monitoring models in production environments
• •General software security overview

Tasks

• •Design and implement sophisticated data pipelines
• •Optimize data architecture for complex datasets
• •Develop advanced LLM workflows with AI models
• •Integrate AI into equity research and analytics
• •Collaborate with research analysts and data scientists
• •Translate business requirements into engineering solutions
• •Support infrastructure and DevOps initiatives
• •Optimize AWS and Databricks environments
• •Manage CI/CD pipelines and container orchestration
• •Automate processes for efficiency

Tools & Technologies

Benefits