Investment Associate Consultant; Asset Modelling and Technology

Location - London or Winchester with hybrid working available

At LCP we love what we do, and it shows. We help our clients make good decisions based on insightful analysis, industry expertise, and game-changing technology. Working across a wide range of sectors, including pensions and benefits, investments, insurance, energy, health, sports, and data analytics, we help our clients navigate complexity in order to take the action that matters.

LCP is recruiting an Investment Consultant to join the Asset Modelling Team ("AMT") within the Investment practice. The role will focus on developing, testing and operating the modelling tools and assumptions that support client advice and LCP's investment technology.

The Asset Modelling Team develops and maintains modelling capabilities used across the Investment and other departments, including stochastic asset liability models, economic scenario generation, yield curve production, assumption-setting analysis and tools used in LCP Visualise.

This role is suited to someone who enjoys technical work, careful analysis and learning how asset and liability models operate in practice. The successful candidate will work with experienced colleagues to run models, test outputs, support regular assumption setting and scenario generation processes, and contribute to model development.

The successful candidate should be able to undertake, or be keen to develop capability in, most of the following:

• 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 AMT 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 for LCP Visualise and other tools
• 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

• • 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

• • Excellent attention to detail and the ability to identify, investigate and resolve unexpected results
  • Ability to manage variable workloads, prioritise effectively and work to agreed deadlines
  • Clear written and verbal communication, including the ability to explain technical outputs to non-specialist stakeholders, including presentations to clients
  • Commercial awareness and an understanding of how modelling work supports client advice
  • Confidence working in a team environment and sharing ideas constructively
  • A strong interest in improving models, processes and ways of working

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