Description

.Key responsibilities

Insight delivery:

Conducts market research, including identification of relevant sources of information, aggregation/synthesis of findings, and delivery, applying AI-enabled tools to accelerate insight generation, and takes ownership of selected strategic research projects
Drives the end-to-end delivery of high-quality projects, agreeing scope and timelines with stakeholders
Design and deliver quantitative research solutions, including market sizing, market landscaping, and commercial analytics, to support
Prospect evaluation
Whitespace Identification
Industry prioritisation
Market assessment
Market share and share‑of‑wallet analysis
Define, test, and refine model parameters, assumptions, and scenarios to ensure analytical robustness.
Champions the adoption of AI and advanced analytics techniques within MCI, identifying opportunities to automate research workflows and enhance the speed and quality of insight generation.

Data sourcing, integration & quality

Leads the sourcing and integration of multiple internal and external data sets, including emerging AI-driven data sources, to support quantitative insight.
Perform data preparation, validation, and quality control to ensure accuracy, integrity, and transparency of outputs.
Drives more systematic and scalable approaches to combining internal and external data across MCI projects, including identifying opportunities for AI and automation to improve efficiency.

Insight generation & communication

Translate complex analysis into clear, narrative‑based insights and recommendations for business stakeholders.
Develop reports, presentations, and visual outputs — including AI-enhanced dashboards and tools — that communicate insight effectively
Balance detailed analytical work with big‑picture interpretation and commercial implications.

Qualifications

Eligibility

Strong analytical mindset with a proven track record of turning data into clear, actionable insight.
Demonstrated experience in quantitative research, market sizing, market landscaping, workflow analysis, or pricing analysis, with a track record of driving projects with minimal oversight.
Advanced Excel skills, including complex formulas, data modelling, and scenario analysis as standard practice.
Experience building or working with Power BI dashboards or similar business intelligence tools.
Experience with a wide range of research tools, techniques, and sources
Foundational knowledge of the elements of business and market strategy, and the ability to apply to market and company research to generate insights and recommendations
Exceptional written and oral communication skills, with a demonstrated ability to work with stakeholders, collaborate with colleagues, and fulfil business needs
Strong project management skills and ability to manage multiple projects simultaneously, setting clear milestones and meeting deadlines
High level of attention to detail and focus on accuracy
Self-starter capable of proactive investigation and analysis
Team player capable of working in the best interests of the firm
Strong attention to detail, with a clear focus on data quality and analytical integrity.
Excellent written and verbal communication skills, with the ability to engage and influence stakeholders at all levels.

Desirable

Proficiency in Python and/or SQL, with experience applying AI/machine learning techniques to research automation and analytics.
Practical experience applying AI, GenAI, or automation tools (e.g. Python, SQL, Copilot/GenAI platforms) to enhance research efficiency, data processing, or insight generation.
Experience working in market insight, market intelligence, strategy, research, or competitive analysis roles.
Knowledge of financial services, investments, pensions, or regulated environments.