- Зарплата
- 45 $ – 100 $
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Finance Expert - Equity Research
Уникальная возможность работать в одной из самых передовых ИИ-компаний мира (xAI Илона Маска). Гибкий график, удаленный формат и высокая почасовая оплата делают вакансию крайне привлекательной для экспертов.
Сложность вакансии
Роль требует глубоких знаний в области финансового моделирования и оценки акций, а также способности адаптировать эти знания для обучения ИИ. Высокая планка ожиданий xAI к качеству данных и аналитическому мышлению делает позицию сложной, но интересной.
Анализ зарплаты
Предлагаемая ставка $45-$100 в час ($90k-$200k в год при полной занятости) соответствует верхнему сегменту рынка для Equity Research специалистов в США, особенно учитывая гибкость контракта. Для международных кандидатов это предложение значительно превышает средние локальные уровни.
Сопроводительное письмо
I am writing to express my strong interest in the Finance Expert - Equity Research position at xAI. With over [Number] years of experience in equity research and a deep proficiency in financial modeling and valuation techniques, I am excited about the opportunity to apply my expertise to the development of frontier AI models. My background in sector coverage and fundamental analysis aligns perfectly with your mission to create high-fidelity training environments for institutional-grade investment analysis.
Throughout my career, I have consistently delivered high-quality research reports and complex financial models, including DCF and comparable company analyses. I am particularly drawn to xAI's flat organizational structure and the hands-on nature of this role. I am eager to collaborate with your technical teams to design efficient annotation tools and ensure that your AI models capture the nuances of real-world capital markets. My analytical mindset and passion for technological innovation make me a strong fit for this fast-moving environment.
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Описание вакансии
About xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
We are seeking an experienced Equity Research professional to join us as an in-house subject matter expert, "Finance Expert - Equity Research." You will draw on your deep expertise in capital markets, fundamental analysis, financial modeling, valuation, and investment research to create training environments that mimic the real-world, high-quality model evaluations, accurate data annotation and detailed inputs that train and refine our AI models. You will partner closely with our technical teams to help ensure our models capture the full complexity of institutional-grade investment analysis. The role calls for sharp analytical thinking, quick adaptability, and genuine excitement about pushing forward frontier Ai in a fast-moving environment.
RESPONSIBILITIES:
- Use proprietary software to deliver precise inputs, labels, and annotations for equity research projects, producing high-quality training data for AI models.
- Create and curate realistic, high-fidelity scenarios involving sector and company analysis, financial modeling, valuation methodologies (DCF, comparable companies, precedent transactions), earnings forecasts, investment thesis development, and research report preparation.
- Develop detailed examples of coverage initiation, earnings analysis, estimate revisions, industry specific data analysis and investment recommendation frameworks.
- Partner with technical staff to support the development of new AI tasks and contribute to innovative tooling.
- Help design and refine efficient annotation tools tailored to equity research workflows.
- Identify, analyze, and break down complex investment analysis problems aligned with your professional experience to improve model performance.
- Execute tasks accurately while maintaining consistency and adapting to new requirements.
BASIC QUALIFICATIONS:
- Minimum of 2 years of professional experience in sell-side or buy-side equity research, with demonstrated sector coverage responsibility.
- Proficiency in financial modeling, valuation techniques, and financial statement analysis.
- Strong command of written and spoken English (informal and professional).
- Excellent communication, interpersonal, analytical, and organizational skills.
- Superior reading comprehension and ability to exercise sound independent judgment with incomplete or ambiguous information.
- Genuine interest in technological innovation and its application to investment research.
PREFERRED SKILLS AND EXPERIENCE:
- Relevant certifications (e.g., FINRA licenses such as Series 7/63/86/87, current or expired).
- Familiarity with Bloomberg, FactSet, Capital IQ, or similar research platforms.
- Experience writing and publishing research notes, earnings summaries, or coverage reports for institutional clients.
- Experience mentoring or training junior associates in research methodologies, modeling best practices, or report writing.
- Quantitative mindset with ability to integrate structured data insights into fundamental analysis.
- Comfort recording audio or video sessions for data collection purposes.
- Prior exposure to AI, machine learning, data visualization, or data annotation workflows.
LOCATION AND OTHER EXPECTATIONS:
- Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
- For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
- Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
- For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
- We are unable to provide visa sponsorship.
- For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.
COMPENSATION AND BENEFITS:
US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.
Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.
xAI is an equal opportunity employer. For details on data processing, view ourRecruitment Privacy Notice.
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Навыки
- Financial Modeling
- Valuation
- Data Annotation
- DCF
- Bloomberg
- Capital IQ
- Equity Research
- Financial Statements Analysis
- FactSet
- Fundamental Analysis
Возможные вопросы на собеседовании
Проверка глубины знаний в фундаментальном анализе.
Опишите ваш процесс построения модели DCF: какие допущения вы считаете наиболее критичными и почему?
Оценка способности кандидата переводить финансовую экспертизу в формат данных для ИИ.
Как бы вы структурировали процесс аннотирования данных для обучения модели ИИ распознаванию нюансов в отчетах о прибылях и убытках?
Проверка навыков работы с профессиональным ПО.
Каков ваш опыт работы с Bloomberg или FactSet, и как вы используете эти инструменты для поиска аномалий в данных?
Оценка способности работать в условиях неопределенности, что важно для xAI.
Приведите пример ситуации, когда вам приходилось принимать инвестиционное решение на основе неполных или противоречивых данных.
Проверка навыков коммуникации и обучения.
Как вы объясняете сложные финансовые концепции (например, расчет WACC) техническим специалистам, не имеющим финансового образования?
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