Goodman Masson
Associate/Investment Consultant (Asset Modelling)
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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.
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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.
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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 days per week expected in the office.
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