Wadhwani School of Data Science and Artificial Intelligence
  • People
    • Faculty
    • Researchers
    • Management
    • Staff
    • Alumni
  • Academics
    • UG Programs
    • PG Programs
    • Research
    • Online Certificate Programs
    • Online Courses
    • Training Programs
  • Opportunities
    • Internships
    • Fellowships
    • Industry Collaborations
    • Faculty Careers
  • News & Events
    • Events
    • News
    • Newsletter
  • Research
    • Overview
    • Themes
    • Projects
    • Research Centres
    • Collaborations
  • Outcomes
    • Publications
    • Preprints
    • Whitepapers
    • Software & Datasets
    • Blogs
  • PhD Candidacy Exam Format
  • Open Positions
  • Grievances
  • For Current Students
  • For Prospective Industry
  • For Prospective Faculty
  • For Prospective Student
  • Upcoming Events
  • Contact

Menu

  • People
    • Faculty
    • Researchers
    • Management
    • Staff
    • Alumni
  • Academics
    • UG Programs
    • PG Programs
    • Research
    • Online Certificate Programs
    • Online Courses
    • Training Programs
  • Opportunities
    • Internships
    • Fellowships
    • Industry Collaborations
    • Faculty Careers
  • News & Events
    • Events
    • News
    • Newsletter
  • Research
    • Overview
    • Themes
    • Projects
    • Research Centres
    • Collaborations
  • Outcomes
    • Publications
    • Preprints
    • Whitepapers
    • Software & Datasets
    • Blogs

Quick Links

  • PhD Candidacy Exam Format
  • Open Positions
  • Grievances
  • For Current Students
  • For Prospective Industry
  • For Prospective Faculty
  • For Prospective Student
  • Upcoming Events
  • Contact
  • Home
  • News
  • MoU Signing for AlphaGrep Quantitative Research Lab

MoU Signing for AlphaGrep Quantitative Research Lab

MoU Signing for AlphaGrep Quantitative Research Lab

The Wadhwani School of Data Science & AI (WSAI) at IIT Madras is delighted to announce the signing of a Memorandum of Understanding (MoU) with AlphaGrep for the establishment of the AlphaGrep Quantitative Research Lab.

About the Partnership

This strategic collaboration aims to:

  • Establish a dedicated research lab for quantitative finance
  • Advance research in algorithmic trading and financial analytics
  • Bridge the gap between academic research and industry applications
  • Provide students with exposure to real-world financial problems
  • Foster innovation in AI-driven financial technologies

About AlphaGrep

AlphaGrep is a leading quantitative trading and research firm that:

  • Specializes in algorithmic trading strategies
  • Employs cutting-edge machine learning and AI techniques
  • Operates in global financial markets
  • Has a strong focus on research and innovation
  • Recruits top talent from premier institutions

The AlphaGrep Quantitative Research Lab

Research Focus Areas

The lab will focus on:

1. Quantitative Finance

  • Portfolio optimization
  • Risk management
  • Asset pricing models
  • Market microstructure analysis
  • High-frequency trading strategies

2. Algorithmic Trading

  • Machine learning for trading strategies
  • Deep learning in financial markets
  • Reinforcement learning for trading
  • Time series forecasting
  • Pattern recognition in financial data

3. Financial Data Analytics

  • Big data analytics for finance
  • Alternative data sources
  • Sentiment analysis for markets
  • Network analysis in financial systems
  • Real-time data processing

4. AI/ML Applications in Finance

  • Neural networks for price prediction
  • Natural language processing for financial news
  • Computer vision for chart pattern recognition
  • Explainable AI for trading decisions
  • Automated trading systems

Lab Infrastructure

The lab will be equipped with:

  • High-performance computing systems
  • Real-time market data feeds
  • Advanced analytics software
  • Quantitative research tools
  • Collaborative research spaces

Benefits for Students

Research Opportunities

  • Work on cutting-edge problems in quantitative finance
  • Access to real-world financial datasets
  • Collaboration with AlphaGrep researchers
  • Publication opportunities in top conferences and journals

Learning & Development

  • Workshops and seminars by industry experts
  • Hands-on training in quantitative finance
  • Exposure to industry-standard tools and platforms
  • Understanding of practical trading strategies

Career Pathways

  • Internship opportunities at AlphaGrep
  • Direct recruitment pipeline
  • Networking with industry professionals
  • Career guidance in quantitative finance

Projects & Internships

  • Summer research internships
  • Industry-sponsored projects
  • Capstone projects with real problems
  • Collaborative research initiatives

Faculty Involvement

WSAI faculty members will:

  • Lead research projects in collaboration with AlphaGrep
  • Mentor students working on lab projects
  • Organize joint workshops and seminars
  • Publish collaborative research papers
  • Guide PhD students in quantitative finance research

Impact on Research Ecosystem

This collaboration will:

Strengthen Academia-Industry Links

  • Bring industry problems to academic research
  • Apply theoretical research to practical applications
  • Create feedback loop between research and implementation

Enhance Research Output

  • Increase publication in top-tier venues
  • Develop novel algorithms and methodologies
  • Create open-source tools for the community

Skill Development

  • Train students in in-demand quantitative skills
  • Develop expertise in financial AI applications
  • Prepare graduates for quant careers

Innovation & Entrepreneurship

  • Foster innovative solutions in fintech
  • Support startup ideas in algorithmic trading
  • Create intellectual property

Future Plans

The partnership envisions:

  • Expanding research areas over time
  • Organizing annual quantitative finance symposiums
  • Creating a vibrant research community
  • Attracting top researchers and students
  • Establishing WSAI as a hub for quantitative finance research

About Wadhwani School of Data Science & AI

WSAI is committed to:

  • Excellence in Data Science and AI education
  • Cutting-edge research in emerging areas
  • Strong industry collaborations
  • Preparing future leaders in AI
  • Contributing to India’s AI ecosystem

About IIT Madras

IIT Madras is:

  • India’s top-ranked technical institution
  • A leader in research and innovation
  • Home to world-class faculty and students
  • A hub for industry partnerships
  • Driving technological advancement in India

Quotes

“This partnership with AlphaGrep represents a significant step in bridging the gap between academic research and industry applications in quantitative finance. The lab will provide our students with unique opportunities to work on real-world financial problems while advancing the state of the art in AI-driven trading strategies.”


Contact Information

For more information about:

  • Research opportunities at the lab
  • Collaboration possibilities
  • Student internships
  • Academic programs

Please contact: wsai@iitm.ac.in (check official website for correct contact)

For more details, visit: WSAI Official Website


This partnership reinforces WSAI’s commitment to fostering strong industry collaborations and providing students with world-class research opportunities in emerging areas of AI and Data Science.

#QuantitativeFinance #AlgorithmicTrading #AIResearch #IndustryAcademiaPartnership #WSAI #IITMadras

logo footer
IITM Logo

Founded in 2024, the School brings together several faculty with expertise in various areas of Data Science and AI, to work together on impactful problems of direct relevance to the society.

Contact Us

044 2257 8980
office@dsai.iitm.ac.in
6th Floor, New Academic Complex 2,
Indian Institute of Technology Madras,
Chennai-600036, India

Quick Links

  1. For Current Students
  2. For Industry Partners
  3. For Prospective Faculty
  4. For Prospective Students
  5. Grievances
  6. PhD Candidacy Exam Format
  7. Upcoming Events

Wadhwani School of Data Science and Artificial Intelligence | IIT Madras © 2026