Senior Data Scientist
Core
Design and develop AI-powered applications, intelligent workflows, and agent-based solutions to support Wealth & Investment Management objectives, including portfolio analytics and investment research.
Role type
Senior hands-on IC data scientist (AI/ML engineering)
Builds
AI-ready data products, APIs, data pipelines, automation frameworks, and reusable software components for investment workflows.
Domain
Financial services / Wealth & Investment Management / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, quantitative analytics, portfolio construction, risk modeling, data pipeline development, API development, cloud-native development, statistical techniques, agentic AI, RAG, retrieval and embedding
Preferred skills
optimization techniques, quantitative finance, portfolio construction methods, risk analytics, agentic AI solutions, MCP/A2A integration, automated evaluation frameworks, production-grade AI in regulated environments
Technologies
Agentic AI, Cloud, Machine Learning, MCP, Python, RAG
Responsibilities
Design and develop AI-powered applications and agent-based solutions; Build portfolio analytics and decision-support solutions; Integrate and operationalize data from multiple investment platforms; Develop APIs and automation frameworks; Apply quantitative techniques to portfolio construction and risk analysis; Support testing, model evaluation, and monitoring; Contribute to shared frameworks and engineering standards.
Seniority
Senior, hands-on IC