Quantitative Analyst – Legal & Financial Structures

Reports to: Head of Corporate/M&A Practice
Department: Corporate/M&A
Location: 100% Remote
Working Hours: Eastern Standard Time (EST)

About the Firm

Sterlington PLLC is a full-service law firm focusing on complex corporate, litigation, executive compensation, and private wealth matters. The firm emphasizes both the economic and legal aspects of client matters. Sterlington is particularly strong in serving founders, senior executives, UHNWIs, and their related businesses.

The Opportunity

Sterlington plays a unique role in deal-making, often acting in a financial or banker-like capacity to analyze deal structures and executive compensation arrangements. This role is designed for someone who can model and understand transactions and compensation from a numerical perspective. The position sits at the intersection of math, finance, law, and business, requiring intellectual rigor and a passion for untangling complexity. You will work directly with the head of the corporate/M&A practice and senior partners, applying first-principles reasoning and AI fluency to high-stakes, real-world situations.

Responsibilities

• Integrate AI-assisted workflows to enhance speed, depth, and accuracy of analysis
• Analyze and model complex business, executive compensation, structure, and financial arrangements to extract underlying economic logic and value drivers
• Map ownership, incentive, and value-distribution structures across multiple scenarios
• Stress-test assumptions and identify points of economic sensitivity and hidden risk
• Build and refine analytical models and frameworks used on live client matters
• Contribute to the evolution of AI-enabled analytical practices within the firm

What Success Looks Like

• Your analysis directly informs structuring decisions, negotiations, and risk assessment
• You demonstrate strong judgment in separating signal from noise in dense materials
• You effectively integrate AI into your workflow, using it to enhance—not replace—your reasoning

Requirements

• PhD or Master’s degree in Mathematics, Applied Mathematics, Finance, or a closely related quantitative field
• Expertise in using AI tools in a professional context to model and analyze data
• Comfortable operating independently in a remote, high-performance environment
• Strong judgment

Prior experience in law is not required.

Benefits

• Medical, Dental, and Vision insurance plans
• 401(k)-retirement program