Data Analyst

Intellectual Capital HR Consulting Pvt. Ltd.; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. in Gurugram seeks a professional to lead market research, strategic analysis, and AI-enabled investment tooling. You will synthesize statistics and prepare investment notes and dashboards for senior stakeholders.

Focus on designing scalable in-house applications for research and portfolio analytics, integrating AI/ML, building robust data pipelines, and ensuring code quality and documentation.

Qualifications

• Strong understanding of financial markets and asset classes.
• Proficiency in Python or Node.js and experience with AI/ML frameworks.
• Experience handling databases, APIs and data storage solutions.

Responsibilities

• Synthesize statistics and trends into actionable insights for investment decisions.
• Prepare investment notes, reports and dashboards for senior stakeholders.
• Design, develop and maintain in-house applications for investment research and analytics.
• Integrate AI/ML models into financial workflows to automate processes.
• Collaborate with analysts, fund managers and data providers to define requirements.
• Translate financial needs into technically robust solutions and architectures.

Skills

Financial Acumen

Technical Proficiency

Data Handling

Problem Solving

Communication

Tools

Python

Node.js

AI/ML frameworks

Job description

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.