Member of Technical Staff, Finance Research (Remote)

About the role

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

Key responsibilities

• Design and implement quantitative models to evaluate 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.
• Collaborate with data‑science and engineering teams to integrate research findings into scalable solutions.
• Present insights and recommendations to senior leadership and other stakeholders.

Required profile

• Strong background in quantitative finance, econometrics or a related field.
• Proven experience analyzing large financial datasets and extracting actionable insights.
• Ability to develop, validate and document financial models and algorithms.
• Experience working collaboratively with cross‑functional technical teams.

Required skills

• Python
• R
• Quantitative modeling
• Financial data analysis
• Econometrics
• Algorithm development for financial applications

What we offer

• Opportunity to work with a global leader in technology and finance.
• Exposure to cutting‑edge research and next‑generation financial tools.
• Fully remote work arrangement with flexibility.
• Competitive compensation package.