Open Closing in a 9 days

Investment Strategy Modelling

Descriptions

LGPS Central Limited are looking to procure a robust investment strategy modelling capability.

 

This is required to support the delivery of tailored strategic advice to Partner Funds. The requirement stems from the requirements set out by the government's "fit for future" consultation and the complexity of investment strategy decisions, the need for regulated and evidence-based advice, and the expectation of future-proofing capabilities such as scenario modelling and whole-of-fund management.

 

The procurement will look for capability in delivering three core components:

1. Investment strategy model(s) - including stochastic asset & liability modelling

2. Inputs required to run risk model - including economic scenario generator and capita market assumptions

3. Temporary consultancy services - including assistance with set up and training of LGPS Central internal team

 

This stage forms the early market engagement for this project.

This stage forms the early market engagement for this requirement.

Timeline

Published Date :

1st Oct 2025 Today

Deadline :

10th Oct 2025 in a 9 days

Contract Start :

2nd Mar 2026

Contract End :

1st Mar 2029

Keywords

financial management consultancy

finance strategy advice

budgeting consultancy

financial planning services

corporate finance advice

fiscal risk analysis

treasury management consulting

investment optimization

financial governance support

fund management advice

Tender Lot Details

2 Tender Lots

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Workflows

Status :

Open

Procedure :

N/A

Suitable for SME :

N/A

Nationwide :

No

Assign to :

Tender Progress :

0%

Details

Notice Type :

PIN

Tender Identifier :

IT-378-246-T: 2024 - 001

Tenderbase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement contact

Name :

Tina Smith

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors