A 16-week research program covering statistics, time-series models, machine learning, factor research and NLP, applied through rigorous validation on historical data.
Duration16 weeks
LevelAdvanced
Phases8
Lessons32
The AI & Quant Researcher Program is a structured path through the methods used in modern quantitative research. You build from probability and time-series modeling to machine learning with leakage-aware validation, factor research and text-based signals from financial news. Every phase stresses reproducible, risk-aware evaluation, and the program closes with a peer-reviewed research capstone on historical data.
8 phases · 32 lessons · 16 weeks. Curriculum preview; the final syllabus may change before enrollment opens.
Build and evaluate a time-series forecasting study with proper out-of-sample testing
Develop a machine learning signal with purged cross-validation and interpretability analysis
Complete a research capstone combining factor and text-based features with a full robustness report
Quantzivo certificates are completion credentials issued by Quantzivo, not accredited qualifications. Courses teach technical and research skills; they do not promise investment returns or provide investment advice.
6 weeks6 modulesLearn the probability and statistics used in quantitative research, from distributions and estimation to hypothesis testing, regression and resampling, applied to market data.
8 weeks8 modulesModel financial time series with stationarity tests, ARIMA, GARCH, cointegration and state-space methods, and evaluate forecasts with disciplined out-of-sample testing.
7 weeks7 modulesApply supervised and unsupervised machine learning to financial datasets using feature engineering, purged cross-validation and disciplined, leakage-aware evaluation.
8 weeks8 modulesResearch, construct and evaluate factor models using cross-sectional regressions, portfolio sorts and risk attribution, with careful handling of biases and multiple testing.
7 weeks7 modulesTurn financial news, filings and transcripts into structured research signals using text processing, embeddings, transformer models and careful event-time alignment.
10 weeks10 modulesPractice quant research the way professional teams structure it: rigorous hypotheses, point-in-time data, factor-aware testing, validation, peer review and decision memos.
Reserve your place in a few steps, or ask us anything about the curriculum, schedule and format first.
