The structure of wealth portfolios has changed dramatically over the past decade. Private equity, private credit, infrastructure and other alternative assets are no longer niche allocations reserved for institutional investors. They are now a growing component of portfolios managed for high-net-worth and mass affluent clients alike.
But as wealth managers broaden the range of assets they invest in, a new challenge has emerged. The systems used to analyse portfolio risk, performance and exposure have often evolved far more slowly than the portfolios themselves.
Public and private assets frequently exist in different data environments, rely on different valuation cycles and are assessed through separate analytical frameworks. That fragmentation can make it difficult for advisers and investment committees to understand the true shape of portfolio risk.
As part of FinTech Global’s prestigious WealthTech100, Harry Slade spoke with Govinda Quish, Managing Director and Global Head of Wealth Management Product at MSCI, about how the industry is addressing this challenge and why integrated portfolio intelligence is becoming increasingly important.
When portfolios outgrow their infrastructure
The expansion of private markets has introduced complexity that many wealth management systems were never originally designed to handle.
For years, portfolio analytics tools focused primarily on liquid assets where pricing and market data were widely available. The addition of private investments has introduced assets with very different reporting structures, liquidity characteristics and transparency levels.
That has created an analytical divide within many firms. “Wealth managers are increasingly allocating across both public and private markets, but the data, analytics and governance frameworks supporting those allocations often remain fragmented,” Quish explained.
The implications extend beyond reporting. Without a consistent analytical framework, it becomes harder for firms to compare risks across asset classes or evaluate how exposures interact within the same portfolio.
“By integrating public market data with private asset transparency and analytics, we enable firms to evaluate total portfolio risk, factor exposures, liquidity considerations and concentration risks in a consistent framework,” he explained.
For investment teams, that consistency allows portfolio construction decisions to be made with a clearer understanding of how each asset contributes to overall risk.
“It helps advisors and CIOs move beyond siloed reporting and toward a holistic view of portfolio construction,” Quish added.
Governance grows more complex alongside diversification
As portfolios incorporate more illiquid assets, governance frameworks have become just as important as analytics.
Private investments introduce different valuation timelines, liquidity constraints and reporting practices. Managing these assets alongside traditional securities requires oversight mechanisms that ensure portfolio decisions remain aligned with client objectives and regulatory expectations.
According to Quish, governance is becoming a central pillar of modern portfolio management.
“As portfolios become more diversified and include illiquid and alternative assets, governance becomes even more critical,” he said.
In practice, that means embedding monitoring and oversight directly into the portfolio management process.
“Robust governance frameworks are designed to help ensure that investment decisions remain aligned with client objectives, risk tolerances, regulatory requirements and internal oversight standards,” Quish explained.
Achieving that level of alignment requires more than simply collecting data from different sources.
“Total portfolio intelligence is not just about data aggregation,” he said. “It is about embedding risk controls, scenario analysis and portfolio monitoring into the investment process.
Scaling personalisation without losing control
The growth of private markets is unfolding alongside another major shift in wealth management: the move toward personalised portfolios.
Clients increasingly expect strategies tailored to their specific financial goals, liquidity needs and tax considerations. For wealth managers, delivering that level of personalisation across thousands of accounts requires powerful analytical infrastructure.
“Personalisation at scale requires institutional-grade infrastructure,” Quish said.
Technology platforms capable of analysing exposures across large client bases are becoming essential.
“By leveraging advanced analytics, wealth managers can systematically assess exposures, stress-test portfolios and monitor drift across thousands of accounts simultaneously,” he explained.
This combination of automation and oversight allows firms to offer tailored portfolios while maintaining discipline across their investment processes.
“It allows firms to deliver differentiated, customised portfolios while maintaining centralised oversight and governance controls,” Quish said.
For many wealth managers, the ability to balance flexibility with consistency has become a defining operational challenge.
Structural differences
Despite growing demand for integrated portfolio analytics, combining data across public and private markets remains technically difficult.
Public assets benefit from continuous market pricing and well-established reporting standards. Private investments, by contrast, often involve periodic valuations and information sourced from multiple providers.
“One of the biggest challenges is inconsistency in data quality, valuation frequency and transparency between public and private markets,” Quish said.
These differences can obscure the underlying drivers of portfolio risk.
MSCI’s approach focuses on applying consistent methodologies across both asset classes.
“By applying consistent risk methodologies, factor frameworks and analytics across both markets, we help firms evaluate exposures and risk drivers across the entire portfolio,” Quish explained. Standardising these frameworks allows wealth managers to move away from disconnected analysis toward integrated reporting.
“By harmonising data structures and enabling integrated reporting, firms can evaluate risk drivers across the entire portfolio instead of relying on disconnected reporting streams,” he said.
Seeing the portfolio as a system
One of the most important benefits of unified analytics is the ability to identify relationships between investments that might otherwise remain hidden.
Traditional reporting often treats asset classes independently. Yet many of the forces shaping portfolio performance operate across markets simultaneously.
“Risks and opportunities rarely exist in isolation,” Quish said. “Correlations, factor exposures and macroeconomic drivers affect portfolios holistically.”
Understanding those interactions requires analysing the entire portfolio together.
“By analysing factor sensitivities, scenario impacts and concentration risks across both public and private holdings, wealth managers can identify unintended exposures, diversification gaps and emerging risks earlier,” he explained.
This perspective can help firms make allocation decisions that reflect the true structure of portfolio risk rather than isolated asset performance.
From competitive edge to baseline capability
Looking ahead, Quish believes integrated portfolio intelligence will soon become a standard expectation rather than a differentiator.
“Over the next several years, we expect total portfolio intelligence to move from being a competitive differentiator to a baseline expectation,” he said.
Investor expectations are evolving alongside the structure of portfolios themselves.
“Clients increasingly demand transparency, risk awareness and outcome-oriented portfolio construction regardless of asset class,” Quish explained.
To meet those expectations, wealth managers will need to embed a range of new capabilities into their technology infrastructure.
“Critical capabilities will include integrated risk analytics across public and private markets, scenario modelling under multiple economic regimes, tax-aware portfolio construction and scalable personalisation supported by automation,” he said.
The firms that succeed will be those able to integrate these capabilities directly into their operating models.
“Those that embed these capabilities into their core infrastructure will be better positioned to deliver consistent outcomes and adapt to market complexity,” Quish added.
As portfolios continue to evolve, the ability to analyse risk across public and private investments as a single system may become one of the defining capabilities of modern wealth management.
The full WealthTech100, including profiles on each company, can be found here.
