About the position Sterlington PLLC is a full-service law firm focusing on complex corporate, litigation, executive compensation, and private wealth matters. We are looking for someone who can help us model and understand transactions and executive compensation arrangements from a numerical perspective. This role sits at the intersection of math, finance, law, and business, and is designed for someone who is intellectually rigorous and genuinely enjoys untangling complexity. You will work directly with the head of the corporate / M&A practice, and senior partners in those practices. This is a rare opportunity for a mathematically and financially disciplined thinker who combines first-principles reasoning with AI fluency, applying both to high-stakes, real-world situations alongside individuals operating at the highest levels of decision-making.

Responsibilities

• Integrate AI-assisted workflows into your day-to-day work 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

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
• High expertise in AI modeling and Excel

Nice-to-haves

• Prior experience in law is not required.

Benefits

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