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Sterlington
Remote Quantitative Analyst for Legal & Financial StructuresSterlington • Lisbon, Portugal
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Remote Quantitative Analyst for Legal & Financial Structures

Remote Quantitative Analyst for Legal & Financial Structures

Sterlington • Lisbon, Portugal
Há 10 dias
Descrição do cargo

S Quantitative Analyst Legal & Financial Structures Empresa : Sterlington Tipo de Emprego : Periodo Integral Lisbon, Portugal JobCopilot will tailor your resume and auto-fill the application Descrição do Emprego - 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) 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 documentsdeals,wecut deals for clients. As part of that, we play somethingcloseto a financial / banker role in analyzing deal structures and executive compensation arrangements.We are looking for someonewho can help us model and understand transactions and executive compensation arrangements from a numerical perspective. Our philosophy is that we need peopletrained to thinklogically and systematically,and equipped tooperatewith modernanalysistools(highexpertisein 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 thehead of the corporate / M&A practice,and senior partnersin those practices .

This is a rare opportunity for a mathematicallyand financiallydisciplined thinker whocombinesfirst-principles reasoning with AI fluency, applying both to high-stakes, real-world situations alongside individualsoperatingat 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 orMaster’s degree in

Mathematics

, Applied Mathematics,finance,or a closely related quantitative field

Expertise in using

AI tools in a professional context

tomodel andanalyze 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 arevaluedand every individualhas the opportunity tothrive. We encourage all qualified candidates to apply. Original job Quantitative Analyst Legal & Financial Structures posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs. JobCopilot will tailor your resume and auto-fill the application Share Job Similar Quantitative Analyst Jobs in Portugal

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Remote Quantitative Analyst for Legal & Financial Structures • Lisbon, Portugal