Treasury AI & Quant Analytics Engineer - Real-Time Insights

Nubeero Limited; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Stripe is seeking a Treasury Finance AI and Quantitative Analytics leader in New York to build AI-enabled treasury tools and data-driven solutions. You will develop autonomous agents, deploy AI applications, and collaborate with finance, product, and engineering to scale Stripe’s Treasury capabilities.

The role emphasizes quantitative modeling, data pipelines, and real-time analytics to support strategic decisions in a fast-paced environment.

Qualifications

• Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or related technical field; 6–8 years in software, data science, or treasury and finance roles.
• Familiarity with financial risk and capital markets concepts.
• Proficiency in Python and AI/ML frameworks such as PyTorch and TensorFlow.
• Experience with LLM frameworks like LangChain or LangGraph.
• Strong AI fundamentals: deep learning, NLP, generative AI.
• Results-oriented in fast-paced environments; strong communication and collaboration.
• Excellent communication skills with finance, product, and engineering teams.
• Highly organized with attention to detail and deadlines.

Responsibilities

• Apply treasury and finance expertise to identify opportunities for AI integration with quantitative tools.
• Build AI-powered tools and autonomous solutions to automate treasury workflows and risk management.
• Ship self-service analytics tools using Python dashboards to provide real-time treasury insights.
• Collaborate with treasury finance and partner teams to scope AI-driven solutions.
• Develop observability and performance analytics for treasury workstreams; report to leadership.
• Leverage diverse data to generate business insights and recommendations.
• Partner with data scientists and engineers to build data pipelines and infrastructure.

Skills

Python

AI/ML experience

Communication skills

Technical problem-solver

Education

Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or related technical field

Tools

PyTorch

TensorFlow

LangChain

LangGraph

Job description

Stripe is seeking a Treasury Finance AI and Quantitative Analytics leader in New York to build AI-enabled treasury tools and data-driven solutions. You will develop autonomous agents, deploy AI applications, and collaborate with finance, product, and engineering to scale Stripe’s Treasury capabilities.

The role emphasizes quantitative modeling, data pipelines, and real-time analytics to support strategic decisions in a fast-paced environment.