Member of Technical Staff, Finance Research (Remote)

About the role

We are looking for a Member of Technical Staff to lead deep financial research and analysis for a global technology leader. The role is fully remote and focuses on building quantitative models, algorithms, and frameworks that drive investment decisions and strategic initiatives.

Key responsibilities

• Design and implement quantitative models to analyze financial markets, trends, and investment opportunities.
• Conduct rigorous research on financial instruments, economic indicators, and sector‑specific developments.
• Develop and refine algorithms for automated financial analysis and decision‑making processes.
• Collaborate with data science and engineering teams to integrate research findings into scalable solutions.
• Present research insights and recommendations to stakeholders, including senior leadership.

Required profile

• Proficiency in Python, R, or similar programming languages for financial modeling and analysis.
• Experience with financial data analysis, including market data, financial statements, and economic indicators.
• Strong background in quantitative finance, econometrics, or related fields.
• Ability to develop and validate financial models and algorithms.
• Experience working with large datasets and extracting actionable insights.

Required skills

• Python
• R

What we offer

• Opportunity to work with a global leader in technology, information, and internet services.
• Exposure to cutting‑edge research tools and the chance to shape the future of financial analysis.
• Fully remote work environment with competitive compensation.