Expertise
We work where rigorous quantitative expertise is at the heart of value creation and enable thorough analysis, structured implementation and long-term improvement.
REVIEW & ANALYSIS
Rigorous evaluations of existing structures, models, and workflows, identifying conceptual weaknesses and quantitative blind spots that conventional consultancies routinely overlook.
QP conducts independent, rigorous reviews of existing quantitative structures, models, and workflows, identifying conceptual weaknesses and quantitative blind spots that are often missed in standard consulting engagements. Our assessments are grounded in academic standards of model validation, statistical inference, and economic coherence, and are designed to determine whether a framework is internally consistent, methodologically sound, and fit for its intended decision-making purpose.
- NAV & valuation frameworks: DCF calibration, terminal value, WACC, peer-group definition, multiple selection
- Risk models: VaR, CVaR / expected shortfall, Monte Carlo simulation, scenario analysis
- Data-provider choice and integration, coding landscape and implementation practices
MODEL DESIGN & IMPLEMENTATION
Advanced econometric and machine learning models that materially enhance decision quality and build academic-grade methods into practical, robust investment processes.
QP designs and implements advanced quantitative models tailored to clients' decision-making environments, translating economic insight and empirical evidence into robust, production-ready frameworks. Grounded in rigorous econometrics and modern machine learning, we emphasise robustness, interpretability, and long-term maintainability across portfolio construction, asset allocation, risk, valuation, and forecasting in public and private markets.
- End-to-end pipeline: data sourcing, optimisation, backtesting, integration, monitoring
- Languages & stack: Python, MATLAB, R, Stata, C++, Docker
- Data-provider stacks: FactSet, Bloomberg, Preqin, Infront
- Bayesian methods and advanced scenario simulation for risk and valuation
RESEARCH & DEVELOPMENT
As external quantitative R&D sparring partner QP supports exploratory projects that build durable intellectual capital alongside internal research teams.
QP acts as an external quantitative R&D sparring partner, complementing internal research teams with exploratory projects that build durable intellectual capital. We develop new analytical perspectives, proprietary datasets, and experimental methodologies beyond standard practice to test hypotheses, assess structural risks, and identify new return drivers, with emphasis on experimental design, statistical validity, and economic interpretation.
- Independent, academically grounded pre-submission reviews of papers and technical reports
- Third-party verification to mitigate conflicts of interest and model risk
- Structured literature reviews, research digests, and tailored workshops
