Looking for a job

Kaushal Gogula

@kaushalgogula

Quantitative researcher at WorldQuant building systematic equity alpha signals and futures trading models.

At WorldQuant, I research and submit systematic equity alpha signals, screening candidates for measures including Sharpe ratio, turnover, drawdown, capacity, and transaction costs. My work has ranked 7th in the United Kingdom.

In Imperial College London’s systematic futures trading competition, I built a modelling pipeline across 11 futures contracts and four asset classes; the team placed 2nd in a cohort of 100. At Hamilcar Capital, I built Python workflows to process a 500-company document corpus for equity research.

Experience

Work history, roles, and key accomplishments

Current

Teaching Assistant

Current

Imperial College London

Sep 2026 - Present (1 month)

Selected by Professor Andrea Buraschi to teach portfolio theory, asset allocation, risk and return analysis and performance measurement to third year BSc students.

Modern Portfolio Theory Asset Allocation Return and Risk Assessment Performance Measurement

Current

Research Consultant

Current

WorldQuant

May 2026 - Present (5 months)

Research and submit systematic equity alpha signals into a research workflow that simulates roughly 4,500 candidate alphas per day. Screen every candidate on Sharpe ratio, turnover, cross sectional correlation, drawdown, capacity, decay, neutralisation and transaction cost assumptions before submission.

Data Engineering & Equity Research Intern

Hamilcar Capital

Jul 2026 - Aug 2026 (1 month)

Built reusable Python workflows to ingest, clean, structure and index annual reports, filings, presentations and financial statements for downstream equity research. Diagnosed missing and inconsistent extractions and rewrote parsing, search and scraping logic, improving document coverage and retrieval reliability for the analyst team.

Python Data Engineering Web Scraping Data Quality Document Processing