Associate/Investment Consultant (Asset Modelling)

NCSL International; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

NCSL International seeks Associate Consultant and Investment Consultant to join its Asset Modelling team. You will lead ALM work for client projects, develop modelling tools and support assumption setting, calibration and reporting.

The roles involve collaborating with software teams, applying Excel, coding skills and AI tools to enhance modelling, analysis and documentation, with a hybrid working pattern and in-office collaboration three days per week.

Qualifications

• Experience in asset-liability modelling for pension schemes or institutional asset owners.
• Experience with stochastic simulation, scenario generation, model calibration and validation.
• Experience applying investment analysis to support assumption setting and yield curves.
• Strong Excel skills with structured workbooks and model outputs.
• Coding in Python, VBA or R for analysis and automation.
• Experience developing, specifying or testing models and tools with development teams.
• Experience using AI tools and agentic coding assistants to support analysis and process improvement.
• Broad technical investment knowledge across asset classes.

Responsibilities

• Lead or manage asset-liability modelling work for client projects and present results to clients.
• Develop, maintain and improve asset modelling tools for monitoring and reporting.
• Calibrate the Economic Scenario Generator and oversee validation processes.
• Manage analysis for the assumption group to support setting and servicing models.
• Support generation and validation of yield curves.
• Specify, test and roll out new modelling functionality with software teams and stakeholders.
• Utilise Excel, coding skills and AI tools to improve modelling and documentation.
• Provide technical support and guidance to colleagues and junior team members.

Skills

Asset-liability modelling

Stochastic modelling

Scenario generation

Model calibration & validation

Investment analysis for assumptions

Python

VBA

R

AI tooling / agentic coding

Asset classes knowledge

Tools

Excel

Job description

My client is an award winning, highly regarded investment consultancy. They are now looking to add an Associate Consultant and an Investment Consultant to their Asset Modelling team.

Key responsibilities

• Lead or manage asset-liability modelling work for client projects, including model runs, analysis, output review and communication of results, this may include direct client-facing presentations
• Develop, maintain and improve asset modelling tools for monitoring, portfolio analysis, strategic investment modelling and client reporting
• Calibrate the Economic Scenario Generator and oversee regular processes, including validation checks, documentation of key judgements and analysis to support assumption setting
• Manage analysis work for the assumption group, producing investment analysis to support assumption setting and central model servicing
• Support the generation and validation of yield curves
• Specify, test and roll out new modelling functionality in collaboration with software development teams and internal stakeholders.
• Use Excel, coding skills and appropriate artificial intelligence ("AI") tools, including agentic coding tools, to improve model development, testing, analysis and documentation
• Provide technical support and guidance to colleagues, including reviewing work and helping more junior team members develop modelling skills

What skills and experience are they looking for? Technical Skills

• Strong experience of asset liability modelling and its application to strategic investment advice, principally for pension schemes or other institutional asset owners
• Experience with stochastic simulation, scenario generation, model calibration and validation
• Experience applying investment analysis to support assumption setting, including yield curves, asset class assumptions and how those assumptions are used in modelling outputs
• Strong Excel skills, including the ability to work confidently with structured workbooks, formulas and model outputs
• Coding experience in Python, VBA or R for analysis, model development, automation or testing
• Experience of developing, specifying or testing models and technical tools, including working with development teams or technical stakeholders
• Experience using AI tools and models, including agentic coding assistants, to support analysis, model development, code review, testing, documentation and process improvement
• Strong technical investment knowledge across a range of asset classes

The roles would suit candidates from an ALM/Stochastic modelling background, keen to work in a stimulating environment with excellent support, training and career growth opportunities

My client operates a hybrid working arrangement with 3 dayes per week expected in the office.