GBM; Private- Vice President- Quantitative Engineering

New York, New York, United States

We are seeking a highly motivated and experienced Vice President to join our Asset Financing Strats team within the Capital Solution Division. This role is pivotal in driving AI-powered innovation, developing advanced quantitative strategies, and leveraging large language models (LLMs) to optimize our asset financing business. The successful candidate will shape the strategic direction of our solutions, enhance product offerings, and improve operational efficiency through intelligent automation and data-driven insights.

• Lead the research, design, and implementation of advanced AI models, LLM-based solutions, and quantitative strategies for the Asset Financing business.
• Build new functionality for trade capture, automate interest and fee calculations, optimize pricing, collateral management, trading strategies, risk management, and predictive analytics to identify market opportunities and mitigate risks.
• Conduct in-depth quantitative research into market microstructure, behavioral patterns, and new data sources relevant to asset financing.
• Apply state-of-the-art AI techniques, including agentic AI, deep research, and LLMs, to solve complex financial problems and generate alpha.
• Develop robust, scalable, and production-ready AI models and tools.
• Oversee the entire model lifecycle: data acquisition, feature engineering, model training, validation, deployment, monitoring, and recalibration.
• Ensure all models adhere to regulatory standards and internal control frameworks.

• Partner with desks, sales, technology, risk management, and operations teams to understand business needs and translate them into quantitative solutions.
• Integrate AI and LLM capabilities into existing workflows and platforms.

• Leverage large and complex datasets to extract meaningful insights, identify trends, and inform strategic decision-making.
• Develop KPIs and metrics to track product adoption, utilization, and business impact.

• Act as a subject matter expert in AI, LLMs, and quantitative finance within the strats team.
• Mentor junior strategists and foster a culture of innovation and continuous learning.

• Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Mathematics, Statistics, Physics, Financial Engineering, Artificial Intelligence, or a related quantitative discipline.
• 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 (Num Py, Pandas, Scikit-learn, Tensor Flow, PyTorch). Experience with Slang/C++; is a plus.
• Strong experience with LLM frameworks and big data technologies.
• 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.

• 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.

• Exceptional analytical, quantitative, and problem-solving abilities.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences.
• Proven ability to lead projects, influence stakeholders, and work effectively in a fast‑paced, collaborative environment.

• Passion for innovation and staying abreast of the latest developments in AI, LLMs, and quantitative finance.
• Strategic thinker with the ability to identify opportunities and drive impactful solutions.
• Proactive, self‑starter with a strong sense of ownership and accountability.
• Adaptable and committed to fostering an inclusive, high‑performance culture.

Salary Range
The expected base salary for this New York, New York, United States-based position is $125000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non‑temporary, full‑time and part‑time US employees who work at least 20 hours per week, can be found here.