10 дней назад
Sr. Research Intelligence Engineer
145 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Research Intelligence Engineer (SQL/Python): Building and maintaining data pipelines, research applications, and data products for private-market reports, analytics, newsletters, and indexes with an accent on methodology implementation, data quality, and cross-functional delivery. Focus on optimizing SQL queries, deploying complex tools to production, streamlining research workflows, and communicating technical methodologies to diverse stakeholders.
Location: New York, New York, United States; expected in the office 5 days a week
Annual base salary: $145,000–$185,000; target annual bonus: 10%
Company
, a Morningstar company, provides private-market data, research, analytics, and tools for financial-market participants.
What you will do
- Coordinate with Institutional Research, Product, Engineering, and Data Operations teams to implement and maintain research methodologies in platform products, repositories, and production deployments.
- Research, build, and maintain data pipelines for native and non-native data sources.
- Own SQL queries and views, optimize queries, and support ongoing pipeline maintenance.
- Advise on methodology updates, data cleanups, and improvements to data delivery for analysts.
- Develop and deploy applications for prototyping, internal workflows, and production use cases.
- Support junior engineers and communicate methodology changes, project progress, and potential roadblocks.
Requirements
- 7+ years of experience in data engineering, data analysis, or data-driven research.
- Proficiency in SQL and Python.
- Must be authorized to work in the United States without requiring visa sponsorship now or in the future.
- Experience deploying complex tools and methodologies to production and working cross-functionally with technical teams.
- Strong written and verbal communication skills, with the ability to explain complex methodologies to technical and non-technical audiences.
- Analytical, detail-oriented, and critical-thinking mindset; proficiency with Microsoft Office and ability to learn new systems quickly.
Nice to have
- Software development and deployment experience, including AI-enabled coding tools.
- Understanding of valuation techniques, startup cap tables, internal rate of return, and portfolio management.
- Interest in M&A and private financial markets.
- Bachelor’s degree in a quantitative or technical field such as Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or quantitative Finance/Economics.
Culture & Benefits
- In-person, collaborative office environment with company-wide and quarterly team-building events.
- Comprehensive health benefits, wellness incentives, disability coverage, and life insurance.
- Paid sabbatical after four years, family and paternity leave, vacation, sick, and volunteer days.
- Annual educational stipend, tuition reimbursement opportunities, CFA exam stipend, and professional training programs.
- 401(k) match, employee stock program, transportation stipend, emergency childcare support, and employee resource groups.
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