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Reports to:  Head of Corporate/M&A Practice   Department:  Corporate/M&A   Location:  100% Remote   Working Hours:  Eastern Standard Time (EST)   Contract type : Independent Contract Our Firm   Sterlington PLLC is a full-service law firm focusing on complex corporate, litigation, executive compensation, and private wealth matters. As a firm, we focus on the  economic  as well as the legal aspects of our matters.   Among other strengths, Sterlington is the ultimate law firm for founders, senior executives, and UHNWIs as well as their related businesses.   Learn more at:  www.sterlingtonlaw.com   The Opportunity   Sterlington not only documents deals, we cut deals for clients. As part of that, we play something close to a financial / banker role in analyzing deal structures and executive compensation arrangements. We are looking for someone who can help us model and understand transactions and executive compensation arrangements from a numerical perspective. Our philosophy is that we need people trained to think logically and systematically, and equipped to operate with modern analysis tools (high expertise in AI modeling and Excel).   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.   What  You’ll  Do   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   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   What  We’re  Looking For   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.   At Sterlington, we believe that world-class talent has no boundaries. We are committed to fostering a diverse and inclusive environment where unique perspectives are valued and every individual has the opportunity to thrive. We encourage all qualified candidates to apply.