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Quantitative Modelling

Putting structurearound financialdecisions.

Datatricx builds valuation, capital-allocation, portfolio-construction and risk models for portfolio management, private markets and infrastructure, and private wealth.

What We Model

Begin with the decision.
Build the model around it.

We do not lead with techniques. We begin with the commercial question, identify the decision variables and constraints, and then select the quantitative methods the problem requires.

01

Valuation

What is the asset, project or financial interest worth—and what drives that value?

Private assets · Infrastructure and project cash flows · Waterfalls · Scenario-dependent value

Decision outputValue ranges, return drivers, downside and break-even thresholds.
Explore Valuation
02

Capital Allocation

What should receive capital, in what proportion, and within which policy constraints?

SAA and TAA · ALM and LDI · Policy ranges · Project prioritisation · Debt sizing

Decision outputAllocation, funding, hedging and affordability trade-offs.
Explore Capital Allocation
03

Portfolio Construction

How should the portfolio be assembled, constrained, implemented and rebalanced?

Optimisation · Diversification · Concentration · Liquidity · Turnover and implementation

Decision outputPortfolio weights, constraint diagnostics, implementation rules and rebalancing triggers.
Explore Portfolio Construction
04

Risk Modelling

What could change the outcome, how severe could it be, and how much can be absorbed?

Portfolio risk · Stress testing · Liquidity · Economic capital · Derivatives overlays

Decision outputExposure, resilience, risk budgets and intervention thresholds.
Explore Risk Modelling

How We Work

Commercial language in.
Decision-ready outputs out.

The model is useful only when it represents the real decision faithfully and makes the trade-offs visible to the people responsible for acting on them.

Commercial problemQuantitative modelDecision output
Institutional portfolioCan the assets meet liabilities across market regimes?
ALM and LDI model, strategic allocation and scenario engine
Allocation ranges, hedge ratios and funding resilience
Infrastructure & project financeHow much debt can the project support?
Integrated cash-flow, valuation and covenant model
Debt capacity, covenant headroom, returns and downside cases
Private wealthHow much liquidity and risk can the balance sheet carry?
Goals, liquidity and concentration model
Spending resilience, allocation constraints and succession trade-offs

Investment Domains

One modelling discipline.
Three investment contexts.

The capability remains quantitative modelling. The domain determines which institutions, constraints, cash flows and governance requirements the model must represent.

01

Portfolio
Management

For asset owners, investment committees and portfolio teams.

  • Strategic and tactical asset allocation
  • ALM and liability-driven investment
  • Portfolio construction and risk budgeting
  • Liquidity and derivatives overlays
Explore Portfolio Management
02

Private Markets
& Infrastructure

For investors, sponsors, lenders, asset owners and public institutions.

  • Asset and project valuation
  • Project-finance cash flows and capital structure
  • Debt capacity and covenant headroom
  • Waterfalls, returns and downside cases
Explore Private Markets & Infrastructure
03

Private
Wealth

For family offices, trustees, wealth advisers and multi-asset wealth teams.

  • Goals-based capital allocation
  • Liquidity and spending sustainability
  • Concentrated and private-asset exposures
  • Long-horizon and intergenerational scenarios
Explore Private Wealth

Datatricx provides the modelling system and analytical evidence. Appointed advisers, fiduciaries and investment committees retain decision responsibility.

Deep expertise. Broad perspective.

Practitioner-led.
Interdisciplinary by design.

We bring together expertise across finance, data analysis, science, statistics, mathematics and software engineering. We understand not only the quantitative methods, but also the context in which they are applied, the problems they are meant to solve and the decisions they are intended to inform.

Meet the team

Start with the decision

Bring us the financial decision.

Share the decision, the existing model or the investment logic you need to quantify. We will respond with an initial view on the analytical structure, information required and a practical next step.

Let’s engage
Datatricx
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