Data Analyst

Intellectual Capital HR Consulting Pvt. Ltd.; Lucknow; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. seeks a capable professional to lead market research, strategic analysis, and AI-enabled development for investment research platforms.

You will build scalable in-house apps, integrate AI/ML models, and manage data pipelines while collaborating with analysts and fund managers to translate business needs into technical solutions. The role emphasizes strong Python/Node.js skills, data handling expertise, and clear technical documentation, with

Qualifications

• Understanding of financial markets, asset classes, and macro indicators.
• Proficiency in Python or Node.js and AI/ML frameworks.
• Experience with databases, APIs, and data storage solutions.

Responsibilities

• Market Research & Strategic Analysis: Monitor and interpret real-time financial markets, company fundamentals, and key macroeconomic indicators.
• Technology & AI Application Development: Design, develop, and maintain bespoke in-house applications for investment research and portfolio analytics; integrate AI/ML models; manage data pipelines and APIs; ensure code quality and documentation.

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 :

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.

2) 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.