Award

Asset Liability Management Model

BORDER TO COAST PENSIONS PARTNERSHIP LIMITED

This public procurement record has 5 releases in its history.

Award

10 Mar 2026 at 15:15

Award

03 Nov 2025 at 16:08

Tender

29 Aug 2025 at 13:45

Planning

08 Jul 2025 at 13:39

Planning

08 Jul 2025 at 13:20

Summary of the contracting process

Border to Coast Pensions Partnership Limited, a sub-central government public authority based in Leeds, has completed the procurement of their Asset Liability Management Model, culminating in the award stage. The contract was signed with Ortec Finance Limited on 10th March 2026 and will initially run for three years with potential extensions totalling nine years. This competitive procurement follows an open procedure under the legal framework UKPGA 2023/54, aiming at financial analysis software facilitating strategic alignment, risk management, asset allocation, and scenario analysis. The contract, valued at £3,600,000 with gross amounts reaching £4,320,000, includes delivery locations throughout the UK.

This procurement presents opportunities for businesses specialising in financial software and consultancy. Particularly, firms with expertise in economic scenario generation, capital market assumptions, and stochastic projections may find lucrative growth prospects by aligning their solutions with pension fund management needs. SMEs situated in the financial analysis and management consultancy sectors are well-positioned to engage with similar tenders through flexible competition, potentially expanding their portfolios with ongoing public sector contracts like the one structured by Border to Coast.

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Notice Title

Asset Liability Management Model

Notice Description

Border to Coast offers investment propositions across Public and Private asset classes that deliver investment opportunities and management to our Partner Funds. As part of our strategic plan, we intend to expand our range of services for our Partner Funds. A key capability is to enable us to support Partner Funds with their SAA and Portfolio Construction decisions. Therefore, we aim to procure an Asset Liability Management (ALM) model to support the efficient implementation of these new capabilities. The ALM model will support evaluation of scheme investment strategy and risk management, strategic investment planning, asset allocation, and scenario analysis. The core functionalities and modules of the ALM are expected to include Economic Scenario Generator and Capital Market Assumptions, capable of accurate representation of Partner Funds underlying asset classes and investment strategies, stochastic ALM projections and stress testing, and comprehensive reporting modules. The ALM model will utilize the current scheme actuaries' liability data as input. The initial contract length will be 3 years with the option of two additional 3 year extensions (9 years in total).

Lot Information

Lot 1

Renewal: The initial contract length will be 6 years with the option of an additional 3 year extension.

Planning Information

Border to Coast offers investment propositions across Public and Private asset classes that deliver investment opportunities and management to our Partner Funds. As part of our strategic plan, we intend to expand our range of services for our Partner Funds. A key capability is to enable us to support Partner Funds with their SAA and Portfolio Construction decisions. Therefore, we aim to procure an Asset Liability Management (ALM) model to support the efficient implementation of these new capabilities. The ALM model will support evaluation of scheme investment strategy and risk management, strategic investment planning, asset allocation, and scenario analysis. The core functionalities and modules of the ALM are expected to include Economic Scenario Generator and Capital Market Assumptions, capable of accurate representation of Partner Funds underlying asset classes and investment strategies, stochastic ALM projections and stress testing, and comprehensive reporting modules. The ALM model will utilize the current scheme actuaries' liability data as input.

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-055b30
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/021415-2026
Current Stage
Award
All Stages
Planning, Tender, Award

Procurement Classification

Notice Type
UK7 - Contract Details Notice
Procurement Type
Standard
Procurement Category
Goods
Procurement Method
Open
Procurement Method Details
Competitive flexible procedure
Tender Suitability
Not specified
Awardee Scale
SME

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems


CPV Codes

48441000 - Financial analysis software package

Notice Value(s)

Tender Value
£3,600,000 £1M-£10M
Lots Value
£3,600,000 £1M-£10M
Awards Value
£3,600,000 £1M-£10M
Contracts Value
£3,600,000 £1M-£10M

Notice Dates

Publication Date
10 Mar 20261 months ago
Submission Deadline
8 Sep 2025Expired
Future Notice Date
18 Aug 2025Expired
Award Date
23 Oct 20256 months ago
Contract Period
11 Mar 2026 - 10 Mar 2029 3-4 years
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Complete
Awards Status
Active
Contracts Status
Active

Contracting Authority (Buyer)

Main Buyer
BORDER TO COAST PENSIONS PARTNERSHIP LIMITED
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LEEDS
Postcode
LS1 2HJ
Post Town
Leeds
Country
England

Major Region (ITL 1)
TLE Yorkshire and The Humber
Basic Region (ITL 2)
TLE4 West Yorkshire
Small Region (ITL 3)
TLE42 Leeds
Delivery Location
Not specified

Local Authority
Leeds
Electoral Ward
Little London & Woodhouse
Westminster Constituency
Leeds Central and Headingley

Supplier Information

Number of Suppliers
1
Supplier Name

ORTEC FINANCE

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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