1) Key Responsibilities:
Market Research & Strategic Analysis :
- 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.
Required 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.