Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects with firm-wide impact.
Why join:
- High-visibility, high-impact role across the firm
- Shape AI-driven development and data access practices
- Work on cutting-edge tech in institutional finance
- Collaborative culture with competitive compensation
What we’re looking for:
- 3+ years in software engineering, Python and SQL experience
- Experience with data systems, cloud technologies, or AI-assisted tools is a plus
- Product-oriented mindset, comfortable navigating ambiguity, and impact-focused
Nice to have:
- Experience with Kubernetes, Kafka, or federated query engines (e.g., Trino)
- Familiarity with monitoring/observability tools like Grafana, Prometheus, CloudWatch
- Experience with AWS or other cloud platforms
- Hands-on experience with AI coding assistants (Copilot, Claude Code, Codex, etc.)
Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects with firm-wide impact.
Why join:
- High-visibility, high-impact role across the firm
- Shape AI-driven development and data access practices
- Work on cutting-edge tech in institutional finance
- Collaborative culture with competitive compensation
,(Develop and enhance solutions for data and metadata access, Build reliable, scalable applications and operational processes, Experiment with AI-assisted development tools and share best practices, Collaborate in a distributed team, taking ownership of impactful projects) Requirements: Python, SQL, Cloud, Kubernetes, Kafka, Grafana, Prometheus, CloudWatch, AWS, Cloud platform, AI Additionally: Sport subscription, Private healthcare.