AI-Driven Quantitative Analyst for M&A Modeling (Remote)

Sterlington; Bogotá ciudad; Remote; COP 582,600,000 - 776,800,000; Full time

Job summary

Sterlington PLLC is a full-service law firm focusing on complex corporate, litigation, executive compensation, and private wealth matters. We seek a mathematically and financially disciplined thinker with AI fluency to model and understand deals and compensation structures.

You will work directly with the head of the corporate / M&A practice and senior partners in those practices. This role sits at the intersection of math, finance, law, and business, designed for an intellectually rigorous

Qualifications

• PhD or Master’s in mathematics, applied mathematics, finance, or related field.
• Strong foundation in mathematics and quantitative modeling.
• Experience applying AI tools to real data and models.

Responsibilities

• Integrate AI-assisted workflows to speed and deepen analysis.
• Model complex business structures and executive compensation arrangements.
• Map ownership, incentive and value-distribution across scenarios.
• Stress-test assumptions and identify risk points.
• Build analytical models used on live client matters.
• Advance AI-enabled analytical practices within the firm.

Skills

Mathematics

Programming (Python/R)

AI tools

Strong judgment

Education

PhD or Master's in Mathematics/Finance

Tools

Python

R

AI modeling tools

Job description

Sterlington PLLC is a full-service law firm focusing on complex corporate, litigation, executive compensation, and private wealth matters. We seek a mathematically and financially disciplined thinker with AI fluency to model and understand deals and compensation structures.

You will work directly with the head of the corporate / M&A practice and senior partners in those practices. This role sits at the intersection of math, finance, law, and business, designed for an intellectually rigorous