Sterlington, PLLC
via Greenhouse
Quantitative Analyst – Legal & Financial Structures
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 46d ago
The date the source published, not the day we noticed it (2026-07-31). Last seen at its source 2h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $141.2k–210.8k/yr
Middle 50% of 202 listings that do state pay — Legal & Compliance · all levels · Americas · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 12d ago · last seen 2h ago
The listing
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
-
- Strong foundation in mathematics (e.g., statistics, optimization, applied modeling) and proficiency in programming (e.g., Python, R, or similar) for building and testing analytical models
- 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.