Senior Quant AI Engineer for Global Markets Analytics

UBS; New York (NY); On-site; USD 234,000 - 251,000; Full time

Job summary

UBS in New York seeks a hands-on Quantitative Engineer to lead analytics and AI solutions for Global Markets Distribution. You will own data, models, and production tools, partnering with sales, trading, quants, and developers to deliver impactful, scalable workflows.

The role requires a masterful Python engineer with production practices, cloud deployment, and leadership capabilities, plus a solid grasp of financial datasets and modern AI tooling. Join a fast-growing Quant Analytics team in NYC.

Qualifications

• Bachelor’s degree in a related field; master’s preferred.
• Experience as a hands-on Quantitative Engineer with leadership.
• Strong Python and production engineering practices.
• Hands-on experience with modern AI tooling including LLMs.
• Solid data engineering with large financial datasets; cloud and containers.
• Familiarity with Kubernetes, Airflow, Azure, Spark; kdb+/q welcome.
• Knowledge of Global Markets workflows and clear communication.

Responsibilities

• Lead and mentor a team while delivering production analytics solutions.
• Analyze data, select approaches, build and deploy end-to-end solutions.
• Design, build, and run analytics and AI services for users.
• Collaborate with sales, trading desks, quants and developers to frame problems.
• Choose appropriate techniques and reuse existing solutions when possible.
• Raise engineering standards and contribute to team growth.

Skills

Quantitative engineering

Python

Team leadership

AI tooling

Data engineering

Cloud deployment

Kubernetes

Apache Airflow

Azure

Apache Spark

kdb+/q

Communication

Problem solving

Education

Bachelor's degree

Master's degree preferred

Tools

Kubernetes

Apache Airflow

Microsoft Azure

Apache Spark

kdb+/q

Job description

UBS in New York seeks a hands-on Quantitative Engineer to lead analytics and AI solutions for Global Markets Distribution. You will own data, models, and production tools, partnering with sales, trading, quants, and developers to deliver impactful, scalable workflows.

The role requires a masterful Python engineer with production practices, cloud deployment, and leadership capabilities, plus a solid grasp of financial datasets and modern AI tooling. Join a fast-growing Quant Analytics team in NYC.