Summary
Overview
Work history
Education
Skills
Timeline
Generic

Abhitaj Banga

London,United Kingdom

Summary

Quantitative investment researcher with 4+ years developing systematic alpha strategies in Asian and global equity markets. Built proprietary forecasting models for major indices achieving 90%+ accuracy and 7-week competitive advantages. Combines advanced quantitative modelling with deep understanding of institutional flow dynamics to generate actionable investment insights for hedge fund and asset management clients.

Overview

4
4
years of professional experience
3
3
years of post-secondary education

Work history

Senior Researcher

Intropic Ltd
London, England
02.2021 - Current

PFI Japan: Senior Researcher

Built proprietary forecasting models for TOPIX, Nikkei 225 and JPX Nikkei 400 indices, delivering systematic alpha opportunities for institutional clients

  • Translated complex index methodologies into robust Python frameworks
  • Built comprehensive data infrastructure covering index universes, passive fund flows, corporate actions, and liquidity metrics
  • Developed proprietary TOPIX float feed from first principles, delivering 7+ week competitive advantage over industry benchmarks
  • Achieved 90%+ prediction accuracy across all models over two-year period, establishing track record for reliable alpha generation
  • Generated 5%+ revenue growth by expanding client base into Asia Pacific institutional market

PFI Production: Lead Researcher

Led research initiatives across Passive Fund Intelligence product, generating actionable insights for institutional clients.

  • Directed research team to identify alpha opportunities in index rebalancing events, providing clients with systematic edge in timing and positioning.
  • Managed production forecasting processes for MSCI, S&P, DAX, and SIX indices, consistently delivering accurate predictions months ahead of official announcements.
  • Developed proprietary research tools that streamlined analysis of index composition changes and ETF tracking patterns, improving research efficiency and accuracy.
  • Developed volumetric analysis methodology to quantify passive tracking flows, enabling precise estimation of rebalancing impact on individual securities.
  • Contributed to integrating the MSCI Free Float Data product into production.
  • Managed client relationships with institutional investors, translating complex quantitative research into actionable trading strategies.

Education

Bachelor of Science - Economics

London School of Economics
London, United Kingdom
09.2017 - 06.2020

Skills

  • Python
  • SQL
  • Excel
  • BQNT & Bloomberg API
  • Quantitative Research
  • Index Modelling
  • Factor Analysis
  • Statistical Modeling

Timeline

Senior Researcher

Intropic Ltd
02.2021 - Current

Bachelor of Science - Economics

London School of Economics
09.2017 - 06.2020
Abhitaj Banga