Treasury Finance AI and Quantitative Analytics, Americas

Навыки

Обязанности

• 01Apply treasury and finance domain expertise to identify high-impact opportunities for AI integration with quantitative tools
• 02Build AI-powered tools and solutions to automate treasury workflows, enhance risk management, and scale operations
• 03Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio)
• 04Work across teams to scope AI-driven solutions for optimizing and scaling complex, data-driven financial workflows
• 05Develop targeted observability and performance analytics for core treasury workstreams
• 06Leverage heterogeneous and unstructured data to develop business insights and recommendations
• 07Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure for treasury workstreams

Требования

• 01Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or a related technical field
• 026–8 years of work experience in software development, data science, or treasury and finance roles
• 03Working familiarity with financial risk and capital markets concepts
• 04Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow
• 05Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools
• 06Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI
• 07Results-oriented, with a focus on delivering impact in a fast-paced environment
• 08Excellent communication skills for collaborating with finance, product, and engineering teams
• 09Highly organized, with attention to detail and the ability to manage tight deadlines