Senior AI & ML Associate — Investment Tools

JPMorganChase; Greater London; Vor Ort; GBP 110.000 - 170.000; Vollzeit

Zusammenfassung

JPMorgan Chase is seeking an Applied AI & Machine Learning Senior Associate within the Asset Management Data Science Team. You will design context-management capabilities, develop LLM-powered applications, and create reliable pipelines for enterprise and investment data.

You will partner with investment, data science, engineering, product, and control teams to turn complex financial workflows into secure, scalable solutions.

Qualifikationen

• Master’s degree or PhD in a quantitative field with strong ML background.
• Strong foundation in statistics, probability, experimental design, and ML.
• Hands-on experience building, deploying, and scaling LLM-powered apps (retrieval, tooling, orchestration).
• Knowledge of prompt design, embeddings, vector/keyword search, reranking, and model optimization.
• Strong Python and SQL skills with common data/ML libraries.
• Understanding of financial markets, investment research, portfolios, risk and return.

Aufgaben

• Design scalable architecture for LLM-powered investment tools with governance and access control.
• Build and scale AI applications and automated workflows using models, retrieval, and tools.
• Develop context-management and retrieval-augmented generation capabilities (ingestion, embeddings, hybrid search).
• Create reliable data/knowledge pipelines transforming enterprise content for AI inputs.
• Set engineering standards for reusable tools and model integrations with testing and docs.
• Implement evaluation and observability ensuring quality, latency, cost, and reliability.

Kenntnisse

Python

SQL

LLM-powered apps

Prompt design

Data pipelines

Model observability

Financial markets knowledge

Ausbildung

Master's or PhD in CS/Statistics/Math/Engineering/Econometrics

Tools

LangGraph

Semantic Kernel

LlamaIndex

OpenTelemetry

Arize Phoenix

LangSmith

Jobbeschreibung

JPMorgan Chase is seeking an Applied AI & Machine Learning Senior Associate within the Asset Management Data Science Team. You will design context-management capabilities, develop LLM-powered applications, and create reliable pipelines for enterprise and investment data.

You will partner with investment, data science, engineering, product, and control teams to turn complex financial workflows into secure, scalable solutions.