Services
01
Review & Analysis
QP conducts rigorous evaluations of existing structures, models, and workflows, identifying conceptual weaknesses and quantitative blind spots that conventional consultancies routinely overlook. Review and analysis engagements are diagnostic in nature and grounded in academic standards of model validation, statistical inference, and economic coherence, and serve as a starting point of model refinement processes. They are designed to provide an independent, technically deep assessment of whether existing quantitative frameworks are internally consistent, methodologically sound, and fit for their intended decision-making purpose.
02
Model Design & Implementation
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, our approach emphasises robustness, interpretability, and long-term maintainability. We develop bespoke solutions across portfolio construction, asset allocation, risk, valuation, and forecasting in both public and private markets, aligning model design with investment beliefs, data constraints, and governance requirements. Implementation spans the full analytical pipeline, from data sourcing and optimisation to backtesting and system integration, ensuring models are transparent, well-documented, and embedded in workflows that support ongoing monitoring and informed human oversight.
03
Research & Development
QP acts as an external quantitative R&D partner, complementing internal research teams with exploratory, forward-looking projects that build durable intellectual capital. We develop new analytical perspectives, proprietary datasets, and experimental methodologies beyond standard industry practice. Our research spans empirical studies, simulation environments, and custom databases to test investment hypotheses, assess structural risks, and identify new return drivers, with strong emphasis on experimental design, statistical validity, and economic interpretation. A core focus is translating frontier academic research in econometrics, machine learning, and financial economics into practical, implementable insights suited to real-world constraints.