Job Opportunities API

. 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. 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.