Remote Quantitative Analyst: AI-Driven M&A Modeling
Sterlington
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Job summary
Sterlington, a leading law firm, seeks a highly quantitative thinker with deep expertise in mathematics and AI-enabled modeling to analyze complex deal structures and executive compensation arrangements. You will work directly with the head of the corporate/M&A practice in a role that blends math, finance, and law.
The position emphasizes rigorous first-principles reasoning, strong numerical skills, and fluency in AI tools, with a remote, high-performance environment and collaboration with
Qualifications
- Strong foundation in mathematics, statistics, optimization and quantitative modeling.
- Proficiency in programming languages (Python, R) for building analytical models.
- Experience using AI tools to model and analyze data.
Responsibilities
- Integrate AI-assisted workflows into day-to-day analysis to improve speed and accuracy.
- Model complex business, executive compensation, and financial arrangements to identify value drivers.
- Map ownership, incentive, and value-distribution structures across scenarios.
- Stress-test assumptions and identify economic sensitivity and risk.
- Build and refine analytical models and frameworks for live client matters.
- Contribute to the evolution of AI-enabled analytical practices within the firm.
Skills
Education
Tools
Job description
Sterlington, a leading law firm, seeks a highly quantitative thinker with deep expertise in mathematics and AI-enabled modeling to analyze complex deal structures and executive compensation arrangements. You will work directly with the head of the corporate/M&A practice in a role that blends math, finance, and law.
The position emphasizes rigorous first-principles reasoning, strong numerical skills, and fluency in AI tools, with a remote, high-performance environment and collaboration with
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