4 дня назад
Equity Instrument Data Management Intern (Python/SQL/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Equity Instrument Data Management Intern (Python/SQL/AI): Maintaining high-quality equity instrument data for investment indexes, analytics, research, and client solutions with an accent on data accuracy, operational support, and cross-functional collaboration. Focus on analyzing complex data issues, contributing to data-content enhancement projects, and applying Python, SQL, and AI-enabled productivity tools.
Location: Monterrey, Mexico
Company
provides research-based data, analytics, and indexes that help financial-market participants understand risks and opportunities and make investment decisions.
What you will do
- Support the daily operation of equity instrument data management and maintain data quality across a diverse set of attributes.
- Work with multiple business units on the production and development of input data used for product generation.
- Respond to content inquiries from sales, consulting, and client relations teams.
- Contribute to projects that rebuild and enhance core data content.
- Collaborate with different teams while completing an internship project and meeting deadlines.
Requirements
- Currently enrolled in an undergraduate program in business, economics, finance, or a related field, at least in the sixth semester.
- Strong communication, relationship management, analytical, data-driven, and problem-solving skills.
- High attention to detail, effective prioritization, and the ability to work under time constraints.
- Curiosity, entrepreneurial spirit, passion for excellence, and ability to work effectively in a team.
- Python and SQL knowledge is desired.
- Advanced English proficiency required.
Nice to have
- Knowledge of AI tools and LLMs such as Gemini, Claude, and ChatGPT.
- Experience with automation or productivity tools.
Culture & Benefits
- Internship orientation covering the organization, culture, values, and business model.
- On-the-desk learning through a project involving multiple teams.
- Support from approachable colleagues throughout the program.
- High-performance and innovation-focused environment with opportunities to experiment and take responsibility.
- Inclusive global network with employee resource groups supporting belonging and connection.
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