About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Pzena Up and Running with Portfolio Optimisation on Rimes Matrix Platform

Subscribe to our newsletter

Pzena Investment Management, an investment manager based in New York City with a focus on long-term classic value investing, is in production on Rimes’ Matrix investment management platform with the aim of supporting efforts to streamline operations, mitigate risk, and enhance portfolio optimisation capabilities.

Rimes engaged with Pzena in February 2023 and the solution went live in mid-September as a managed service with full infrastructure and application support. It is the first time Rimes has implemented a compliance rule framework-based optimisation process within Matrix.

“Going live with the Matrix portfolio optimisation component is a significant milestone in our overall technology modernisation programme,” says Brian Mann, chief data officer and director of operations at Pzena. “We can now systematically facilitate a growing demand for customised client portfolios.”

Stuart Plane, managing director and head of enterprise solutions at Rimes, says: “The successful implementation of the compliance rule framework-based optimisation process, combined with our infrastructure and application support, is an important first for Rimes and all its clients. It allows for a more disciplined and controlled investment management process, providing a comprehensive framework for decision making within the bounds of compliance standards.”

The Matrix platform simplifies the management of complex, multi-level investment and product structures, clarifying portfolio management and investment decisions. The platform’s portfolio optimisation capabilities allow managers to select the most favorable asset distribution strategy from a broad and diverse range, including tangible and illiquid portfolios being considered, according to agreed performance and duration objectives. This approach maximises factors such as anticipated returns and minimises financial, regulatory, or reputational risk exposure.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Tracing Data’s Transformation is Key to Compliance and AI Effectiveness: Webinar Preview

Transparency and accuracy are characteristics of data that are equally important for financial institutions’ compliance processes and the rollout of artificial intelligence applications. Without those qualities, regulators will have little trust in the disclosures of firms’ compliance teams and any AI technology will be prone to misleading and potentially damaging outputs. To ensure these two...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...