Associate/Investment Consultant (Asset Modelling) - Goodman Masson

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.