Data Analyst – Financial Markets & AI Applications

About the CompanyWe combine deep market expertise with cutting-edge AI and advanced coding practices to deliver superior insights and tools.About the RoleWe are seeking a highly motivated Data Analyst to serve as the critical interface between investment strategy and technological execution. This role is ideal for a professional committed to leveraging data and AI to drive measurable financial outcomes.Responsibilities- Market Research & Strategic Analysis - Monitor and interpret real-time financial markets, company fundamentals, and key macroeconomic indicators. - Synthesize statistics and trends into actionable insights that directly inform investment and asset allocation decisions. - Prepare detailed investment notes, comprehensive reports, and sophisticated dashboards for senior stakeholders. - - Technology & AI Application Development - Design, develop, and maintain bespoke, scalable in-house applications for enhanced investment research and portfolio analytics. - Integrate cutting-edge AI/ML models into financial workflows to achieve process automation and deeper analytical capabilities. - Manage large, diverse datasets by establishing robust data pipelines, working with APIs, and maintaining database integrity. - Ensure code quality, documentation, and version control across all developed solutions. - - Collaborative Solution Implementation - Partner with research analysts, fund managers, and external data providers to precisely define business requirements. - Translate complex financial needs into functional, architecturally sound, and tech-driven solutions.-Qualifications- Bachelor's DegreeRequired Skills- Financial Acumen: A fundamental understanding of financial markets, asset classes, and key economic/market statistics. - Technical Proficiency: Strong programming skills in Python (preferred), Node.js, or equivalent. Experience with standard AI/ML frameworks is essential. - Data Handling: Proven expertise in working with databases, APIs, and managing data storage solutions (cloud or local). - Problem Solving: Demonstrated ability to deconstruct complex investment problems and conceptualize effective technical solutions. - Communication: Exceptional skills in technical documentation, presentation, and clear articulation of both technical architecture and financial implications.Preferred Skills- Prior experience (internships or projects) in a professional setting such as Fintech, Quantitative Research, or Investment Analytics. - Direct exposure to large language models (LLMs), agentic AI frameworks, or automated research development.

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