Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is looking to hire a Data & AI Engineer to build, manage and deploy cutting edge Data and AI solutions for Investment Research, Banking, Sales and Trading.
Requirements
- Python, SQL, PySpark, MLflow
- In depth knowledge of Algorithms and Data Structures and distributed computing.
- Experience building end to end Data & ML pipelines covering data ingestion, transformation, feature engineering, model development and tuning, evaluation, deployment and inference.
- Experience with Azure Databricks, Spark, Snowflake, Kubernetes
- Exposure to Generative AI stack (LLMs, Agents, MCP Servers)
- Experience with Terraform
Responsibilities
- Build data products using structured and unstructured data from traditional and alternative sources to deliver actionable signals and insights for Investment Research, Banking and Global Markets.
- Provide subject matter expertise in distributed and parallel computing.
- Analyze ML and data processing workloads to identity latency contributors, inefficient compute utilization and provide remediation recommendations.
- Contribute to automation efforts via CI/CD pipelines, infrastructure-as-code, and reusable frameworks
Other
- Degree in Computer Science or Engineering
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
