Quantitative Analyst – Global Markets Financing | UBS

Location: New York, NY | Work Mode: Full-time | Salary Range: $145,000 – $172,500 | Posting date/time : February 19, 2026

Job Description

Your Role

Join the Global Markets Financing (GMF) quantitative team to drive high-impact projects. You will be responsible for inventory internalization, trading optimization, and developing client pricing strategies. Your work will directly enhance UBS’s client financing offerings across various asset classes through advanced data analytics and predictive modeling.

Key Responsibilities:

• Optimize Inventory Internalization and marginal trade pricing for global clients.
• Develop financing analytics for flow and client portfolios, focusing on return measurement and behavioral profiling.
• Lead Stock Borrow and Loan (SBL) optimization, including borrow rate prediction and systematic market-making.
• Provide pricing and analytics for Delta-One products (Equity Swaps, Futures, etc.), including implied financing rate calibration.
• Conduct research and back-testing for sophisticated trading strategies.

Your Expertise:

• Experience: Ideally 2+ years of professional experience in a quantitative field within finance.
• Education: Master’s or Doctorate in Mathematics, Physics, Computer Science, Engineering, or Econometrics.
• Technical Mastery: Exceptional skills in Python; experience with KDB / Q, UNIX, and scripting is highly valued.
• Theoretical Depth: Advanced knowledge of probability theory, numerical analysis, optimization, and machine learning techniques.
• Market Knowledge: Understanding of financing markets, balance sheets, and P&L measures.

Job details made easy by trendtoday360

Position: GMF Quant – Delta-One & Inventory Optimization
Core Technology: Python, KDB+/Q, Machine Learning, Predictive Analytics
Team Culture: Innovative, Entrepreneurial, and Collaborative

✅ Job Summary and Focus:

This role at UBS is for a Financial Architect of Liquidity. Sitting within the Global Markets Financing team, the focus is on Capital Efficiency—building the high-performance tools that allow the bank to internalize inventory and price complex financing trades in real-time. In 2026, the edge in GMF comes from Borrow Rate Prediction and Agentic AI workflows that can automate client strategy profiling. You will be tasked with transforming massive datasets into actionable pricing for Delta-One products, ensuring that UBS remains the leading universal bank for institutional financing needs.

📌 Key ATS Resume Keywords:

Quantitative Analyst, UBS, Global Markets Financing, GMF, Delta-One, Equity Swaps, Stock Borrow and Loan, SBL, Inventory Internalization, Python, KDB+, Q Language, Machine Learning, Back-testing, Predictive Modeling, Financing Rate Calibration, New York Finance Jobs.

💰 Compensation and Industry Demographics:

The expected base salary in New York is $145,000 to $172,500. This role is also eligible for discretionary incentive compensation.

In the context of the New York Quantitative Finance workforce for 2025-2026:

• The “KDB+” Premium: In 2026, quants proficient in KDB+/Q for high-frequency data analysis are seeing a 15% increase in total compensation offers, as banks move toward real-time inventory management.
• Racial Representation in NYC Quantitative Finance: Based on 2025-2026 labor data for “Quantitative Financial Analysts” in the New York Metro area:
  • White: 44.5%
  • Asian: 42.1%
  • Hispanic or Latino: 6.4%
  • Black or African American: 4.7%
  • Other/Multiracial: 2.3%
• Career Comeback Program: UBS is a global leader in the “Career Comeback” initiative, specifically designed to help professionals (often women returning from childcare breaks) re-enter the workforce at senior levels without a “break penalty.”
• Market Trends: 2026 has seen a surge in “Explainable AI” (XAI) in financing. Firms are prioritizing quants who can not only build black-box models but also communicate the “why” behind marginal trade pricing to senior stakeholders and regulators.

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