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Investment risk analytics in asset management

From insights to action

In today’s rapidly evolving financial landscape, asset managers face unprecedented complexity and volatility. The need for robust investment risk analytics has never been greater, not only to comply with regulatory demands, but to unlock actionable insights that drive superior portfolio performance.

With the stakes higher than ever, asset managers must rethink how they measure, manage, and act on risk. Robust investment risk analytics is now essential for monitoring portfolio exposures and ensuring regulatory compliance, as well as for gaining transparency into the drivers of performance. These capabilities help align strategies with investment objectives, especially in volatile markets.

As investment portfolios become more diverse and complex, asset managers must address a broad array of risk types, each requiring specialized analytical approaches and tools.

Key challenges

Despite the promise of modern risk analytics, many asset managers face a familiar set of obstacles. These challenges go beyond technology, influencing how portfolio managers, risk teams, and compliance leaders operate day to day.

Inconsistent metrics and methodologies

Insufficient depth and coverage of analytics

Operational inefficiencies

Fragmented systems and scalability constraints

How GenAI is transforming risk analytics

Building on this foundation, leading asset managers are now exploring how generative AI is reshaping risk analytics. By accelerating forecasting, scenario simulation, and risk interpretation, GenAI transforms complex data into clear, timely narratives that stakeholders can act on.

As these capabilities mature, GenAI is quickly becoming a powerful innovation frontier. While traditional risk metrics and frameworks remain essential, GenAI introduces new ways to deepen insight, speed up analysis, and clarify decision-making. Today, asset managers are applying GenAI across several key areas:

1

Economic and market forecasting

2

Scenario simulation

3

Risk interpretation and reporting

4

Integrated predictive intelligence

How KPMG can help

KPMG combines deep industry experience, technical excellence, and global resources to deliver tailored risk analytics solutions for asset managers. Our team understands the complexities across asset classes and regulatory environments, and we leverage advanced technology to design and implement the best-fit solution. Whether delivered within the client’s own environment or via KPMG LLP’s fully managed analytics platform, our approach empowers asset managers to unlock actionable insights, make smarter decisions, and achieve superior portfolio performance.

Dive into our thinking:

Investment Risk Analytics in Asset Management

From insights to action

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GenAI in Asset Management: The digital edge

Redefining asset management customer service and distribution

Meet our team

Image of Agnel Kagoo
Agnel Kagoo
Capital Markets Consulting Leader, KPMG US
Image of Murali Sreedhar
Murali Sreedhar
Principal, Advisory, KPMG LLP

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