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Portfolio Management System (PMS)

Your risk models, not ours. Run your own risk models against live positions, with results stored alongside everything else. No vendor black box. Public and private markets in the same view.

The Industry Challenge

Portfolio managers need a complete, live picture of exposure across an increasingly complex universe of asset classes, strategies, and geographies. But most platforms force a trade-off between breadth and depth, or lock you into a single vendor's risk and analytics stack. The result: reliance on spreadsheets, fragmented views, and delayed decisions.

How FINBOURNE helps

No lock-in to a single vendor’s risk stack. Run your own risk models and factors against live positions, with results stored alongside everything else with full lineage. Most platforms come with their own risk models and expect you to use them. FINBOURNE runs yours.

Construct and optimise complex portfolios

Allocate across listed and unlisted assets using models, benchmarks, or custom strategies. Asset allocation, cash management, hedging, model management, and order generation on a single platform.

Private markets alongside public

Commitments, capital calls, drawdowns, look-through to underlying holdings, and the valuation complexity that comes with illiquid assets. Private and public assets in the same view.

Reproduce what the PM saw

Bitemporal history means you can reconstruct exactly what the portfolio manager was looking at when they made a decision. For investment process review, suitability files in wealth, and any regulator question about why a trade happened.

AI-powered portfolio insight

Ask questions in natural language: "What's my largest credit concentration?" or "Show me sector drift versus benchmark." AI agents reason over your live portfolio, not yesterday's export. Every action an agent proposes passes through the same approval workflow as a human's.

Features

01

Portfolio construction

Model portfolios, target allocations, and order generation. Cash management, hedging, and rebalancing driven by the models, with compliance checked before execution.

02

Model management

Dynamic, centrally managed investment models. Apply updates instantly across accounts for consistency, scale, and speed.

03

Risk analytics

Your risk models and factors run against live positions with results stored with full lineage. Stress testing, scenario analysis, key rate durations, spread analytics, and custom factors.

04

Rebalancing

Rebalancing with active weights, order contras, lot size and holding constraints, and cash reallocation. See the full impact before and after execution, including the effect on compliance checks.

05

Portfolio monitoring

Full suite of analytics to analyse contributions across assets, instruments, and groupings. Exposures and risks using various metrics.

06

ESG

ESG ratings and sustainability data alongside financial analytics. Monitor alignment to responsible investment mandates.

AI

FINBOURNE's AI agents give portfolio managers a natural language interface to their own live data. Morning briefings, portfolio diagnostics, and scenario analysis, all grounded in your actual positions. Agents can generate rebalancing orders and route them through the OMS. Every action an agent proposes passes through the same approval workflow and entitlements as a human would.

Portfolio management agent Morning summary agent ESG agent Rebalance agent Market risk agent and more

Client stories

Asset owners

Tier 1 pension fund, whole-of-fund portfolio management

A large pension fund deployed FINBOURNE’s PMS to manage its global, multi-asset portfolio, including a significant allocation to private markets where the previous platform could not integrate data alongside public market holdings. The PMS now supports portfolio construction, monitoring, and reporting across the entire fund, with continuously updated visibility replacing the slow, manual processes that had been unsustainable.

Asset managers

Wealth and asset manager, PMS replacing legacy platform at scale

A large wealth and asset manager replaced legacy platform with FINBOURNE’s PMS and IBOR to scale its discretionary wealth business. FINBOURNE provides automated rebalancing with custom algorithm support, pre- and post-trade compliance across all discretionary mandates, and a live position view reconciled against custodian data, enabling the firm to compete with digital-first wealth platforms without adding headcount.

Hedge funds

API-first data structuring for a fully automated equity strategy

A global hedge fund needed a single vendor for PMS, APIs and fund accounting to support a fully automated long/short equity fund. FINBOURNE ingests and structures data for algorithmic use, with full trade lifecycle automation, regulatory accounting and ad-hoc analytics. Human oversight is maintained through configurable approval workflows and kill functionality, with every automated action recorded and auditable.

Ready to see FINBOURNE in action?

Book a demo

Questions we hear from portfolio management teams

How are firms running their own risk models against live positions without being locked into a single vendor's analytics?

FINBOURNE stores the results of client-defined risk models alongside position and instrument data, with full lineage. The models run against live positions; the platform stores the output, not the methodology.

What does a whole-of-portfolio view look like when it includes both public and private market holdings?

Listed and unlisted assets appear in the same portfolio view. Private market specifics (commitments, capital calls, drawdowns, look-through to underlying holdings, illiquid asset valuations) are handled natively, not as workarounds.

How do I reconstruct exactly what a portfolio manager was looking at when they made a decision?

Bitemporal history records both when a fact applied and when it was known. You can replay any portfolio on any past date with the information available at that point, for investment process review, suitability files, or regulatory queries.

How are firms handling the valuation complexity of illiquid assets alongside their listed book?

Illiquid assets carry their own valuation policies within the same portfolio structure as listed instruments. Fair value adjustments, stale pricing, and valuation lag are handled as configuration, not exceptions.

Can an AI agent answer questions about my portfolio in plain language, using live data rather than yesterday's export?

Yes. FINBOURNE’s AI agents connect to live position data via MCP and respond to natural language queries (“what is my largest credit concentration?”, “show me sector drift versus benchmark”). Every response is grounded in current data, not an extract.