1 день назад
Data Strategist
150 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Strategist (Market Data/Quantitative Research): Identifying, evaluating, and acquiring differentiated datasets for quantitative research and systematic trading with an accent on data-source assessment, provider ecosystems, and commercial negotiations. Focus on discovering new data channels, building counterparty relationships, evaluating dataset fit with research and technology teams, and developing sourcing expertise in priority domains.
Location: New York, NY, United States
Salary: $150,000–$250,000 per year, plus discretionary performance-based bonuses and benefits.
Company
applies scientific methods, advanced computing, and automation to algorithmic trading and financial research.
What you will do
- Identify, evaluate, and acquire differentiated datasets from vendors, brokers, exchanges, and other counterparties.
- Hunt for new data sources, relationships, and content that can create value.
- Build and maintain relationships with data providers and market participants.
- Lead commercial discussions and negotiate data agreements.
- Collaborate with research and technology teams to assess dataset fit and value.
- Drive data-sourcing initiatives in priority domains and develop expertise in providers, use cases, gaps, and opportunities.
Requirements
- 3+ years of experience in data sourcing, market data, broker data, quantitative research data, vendor management, or a related field.
- Strong understanding of data sources, dataset evaluation, and quantitative research or systematic trading use cases.
- Experience working with external counterparties and internal research, legal, business, and technology teams.
- Strong analytical, problem-solving, communication, and relationship-building skills.
- Ability to work independently and maintain meticulous attention to detail in a fast-paced environment.
Nice to have
- Proficiency with Python, SQL, or similar data-analysis tools.
Culture & Benefits
- Scientific and technology-driven approach to algorithmic trading.
- Openness, transparency, and appreciation for ideas from new hires and experienced colleagues.
- Collaborative environment with diverse expertise across mathematics, computer science, physics, engineering, media, and technology.
- Competitive benefits package and eligibility for discretionary performance-based bonuses.
- Equal opportunity workplace with a diverse global workforce.
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