About
Every investment portfolio starts with allocation decisions: what to own, how much, which risks to take and how those choices should change as markets evolve. Asset allocation decisions dominate investment outcomes compared to manager and security selection.
They are also unusually complex. Investors must weigh opportunities across asset classes, geographies and public and private markets against return objectives, liquidity needs, benchmarks and governance constraints. Yet the tools supporting these decisions are often backward-looking, fragmented and re-purposed from systems that were not designed for allocation decisions.
Our mission is to make institutional-grade allocation capability available to every investment team. We call it the asset allocation layer: one forward-looking framework connecting expected returns, risk, simulations, scenarios and portfolio construction, with outputs that are empirically tested and traceable to the assumptions behind them.
Technology
At the core of Allocation Strategy is a single engine that models the future opportunity set as one connected system. Expected returns, risk, simulations, scenarios and portfolio construction all come from the same framework, keeping the analysis consistent from market assumptions through to portfolio decisions.
Developed through years of research and real-world asset allocation decisions, it brings together our proprietary models of expected returns, risk, markets and economies in a single forward-looking architecture.
We turn research into working investment technology. Proprietary models, empirical validation and continuous R&D sit behind a production-grade engine designed to support real allocation decisions at scale.
Our applications bring that large-scale simulation capability into real-time workflows, allowing investors to explore how the opportunity set, risks and portfolios change across horizons and possible future states.
Our models start from what markets are pricing today and build forward-looking estimates of returns, risk and scenarios. They do not depend on the past repeating in order to describe the future.
Global equities
Our engine captures those shifts in the opportunity set through time and across horizons, producing more realistic distributions of portfolio outcomes than relying on historical assumptions.
510 one-year fixed income forecasts, 2004–2025
Our models are tested empirically and applied in real investment workflows, bridging the gap between research methodology and live allocation decisions.
Team
Pavol leads the company's strategy, financing, and go-to-market efforts, and works closely with clients, investors, and partners to scale the business. Previously, Pavol spent a decade at Norges Bank Investment Management, where he led the Investment Research team and built the firm's asset allocation and analytics platform. Earlier in his career, he was an academic researcher with publications in leading finance journals, and began his career developing fixed income indices and investment products.
Michael leads the R&D activities of the firm and works closely with clients to develop solutions to complex asset allocation problems. He also manages the firm's Insights series. Previously, he was Lead Researcher at Norges Bank Investment Management providing in-depth advice and analytics to investment committees and the executive board. Earlier in his career, he was an economist at the Bank of England, where he advised the Monetary Policy Committee on financial markets. His work is published in numerous institutional research outlets and journals.
Drew oversees the development of advanced technical infrastructure for the delivery of models, data, and research for asset allocation. He started his career at Norges Bank Investment Management, where he built the research and analytics infrastructure underpinning the firm's advanced asset allocation analytics.
Nigel was formerly Director of Portfolio Construction at the Future Fund, Australia's sovereign wealth fund. He is a leading practitioner of the Total Portfolio Approach, with extensive experience designing and managing large global investment portfolios. He also currently serves as a Non Executive Director of the Trustee Board and Investment Committee Member at AMP, and leads Long Horizon Enterprises, an advisory firm that helps investors translate total portfolio theory into practice. Earlier in his career, he was Senior Portfolio Manager, Portfolio Construction at NSW TCorp.
Tobias is a serial entrepreneur and a recognised thought leader in benchmarks, indexing, data products, as well as financial market infrastructure. Tobias has three decades of experience in financial markets. He currently builds PANTA, a SaaS company that is revolutionizing the index industry. Previously, he co-founded Moorgate Benchmarks, a white-label index calculation provider that was acquired by Morningstar. Earlier in his career, he was CEO of Thomson Reuters Benchmark Services, and held senior roles at London Stock Exchange, IHS Markit, and Deutsche Börse.
Careers
Latest job postings at Allocation Strategy
Insights
