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Vice President, Quantitative Engineering (AI/LLM)
125 000 - 250 000$
Описание вакансии
Текст:
TL;DR
Vice President, Quantitative Engineering (AI/LLM): Leading the research, design, and implementation of advanced AI models and LLM-based solutions for the Asset Financing business with an accent on optimizing pricing, collateral management, and risk management. Focus on applying state-of-the-art AI techniques, including agentic AI, to solve complex financial problems and generate alpha.
Location: Onsite in New York, New York, United States
Salary: $125,000–$250,000 USD
Company
is a leading global investment bank providing a wide range of financial services.
What you will do
- Lead research, design, and implementation of advanced AI models, LLM solutions, and quantitative strategies for the Asset Financing business.
- Build new functionality for trade capture, automate calculations, and optimize pricing, collateral management, and risk management.
- Conduct in-depth quantitative research into market microstructure, behavioral patterns, and new data sources.
- Develop robust, scalable, and production-ready AI models and tools, overseeing their full lifecycle.
- Partner with desks, sales, technology, risk management, and operations teams to translate business needs into quantitative solutions.
- Act as a subject matter expert in AI, LLMs, and quantitative finance, and mentor junior strategists.
Requirements
- Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Mathematics, Statistics, Physics, Financial Engineering, or Artificial Intelligence.
- 5–10 years of experience in quantitative finance or high-tech, with a proven track record of applying advanced AI techniques to real-world problems.
- Expert-level programming proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Strong experience with LLM frameworks, big data technologies, and hands-on experience with agentic AI/MCP design and implementation.
- Deep understanding of asset financing, collateral management, financial markets, and the broader securities financing ecosystem.
Nice to have
- Experience with documentation digitalization and workflow automation.
- Demonstrated ability to drive the adoption of AI/LLM solutions that reduce operational costs and enhance client experience.
Culture & Benefits
- Access to valuable and competitive benefits and wellness offerings as a core part of a strong overall employee experience.
- Eligibility for a discretionary bonus as an active employee as of fiscal year-end.
- Opportunity to work in a fast-paced, collaborative environment.
- Commitment to fostering a culture of innovation and continuous learning.
- Adaptable work environment committed to fostering an inclusive, high-performance culture.
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