13 дней назад
Senior Equity Research Analyst, AI Platform
200 000 - 235 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Equity Research Analyst, AI Platform (AI/equity research): Building AI-powered equity research features, LLM workflows, and sector-based factor models that convert unstructured information into scalable signals and outputs for individual investors with an accent on fundamental analysis, quantitative modeling, and automated research pipelines. Focus on designing reproducible backtests, translating investment judgment into systematic strategies, and collaborating with Engineering on APIs, DAGs, databases, and AI-enabled product capabilities.
Location: Hybrid, 3 days in office at CNBC Headquarters in Englewood Cliffs, New Jersey, USA
Salary: $200,000–$235,000 yearly, plus bonus eligibility and RSUs.
Company
is a media and entertainment company whose CNBC business is developing StockStory, an AI-powered equity research platform for individual investors.
What you will do
- Convert equity research insights into scalable AI platform features for stock discovery, research, and selection.
- Design and evaluate LLM workflows that process unstructured data into structured metrics and investment factors.
- Develop and evaluate sector-based factor models using fundamental research, statistical methods, and quantitative factor design.
- Oversee stock-picking model alignment and produce structured reports for retail investors.
- Partner with Engineering to build pipelines using APIs, DAGs, and databases, and ship analysis capabilities.
- Establish reproducible backtests and evaluations for research and modeling outputs.
Requirements
- At least 4 years of buy-side public markets investing experience focused on long-term fundamental analysis.
- Experience with idea generation, equity research, portfolio analysis, and rigorous process-driven investment strategies.
- Practical experience with LLM workflows in equity research, including prompt and context engineering, structured extraction, and error analysis.
- Programming, coding, or data experience, with the ability to collaborate with Engineering on automated equity analysis features.
- Multi-sector fundamental research experience that has influenced long-term investment decisions.
- Strong forensic accounting knowledge and experience building three-statement and sector-wide models.
Culture & Benefits
- Small, high-caliber team with high ownership, autonomy, fast decisions, and direct access to leadership.
- Low-bureaucracy collaboration across research, product, engineering, and senior leadership.
- Free onsite fitness center with equipment and daily group classes.
- Gourmet cafeteria, dry cleaning, shoe shining, and other onsite amenities.
- Free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.
- Opportunity to contribute to continued investment in data, technology, and product development.
Hiring process
- External candidates may be required to attend an in-person interview at a location before a hiring decision.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →