Investment Banking Expert - M&A

Professional experience in M&A investment banking or related fields (e.g., M&A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).

Proficiency in reading and writing informal and professional English.

Strong communication, interpersonal, analytical, and organizational skills.

Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

Passion for technological advancements and innovation in M&A investment banking.

$45/hour - $100/hour

The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location.

Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.

xAI is an equal opportunity employer. For details on data processing, view our

Recruitment Privacy Notice

.

We are seeking a skilled Investment Banking - M&A Expert to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to M&A investment banking contexts. In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world M&A dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Utilize proprietary software to provide accurate input and labels for M&A investment banking projects, ensuring high-quality data for AI model training.

Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.

Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

Assist in designing and improving efficient annotation tools tailored for M&A investment banking data.