Job Description

We will count on you to:

Employ specialized statistical analysis software and advanced statistical methods to design, analyze, build, validate, and implement quantitative predictive models. Utilize qualitative and quantitative data analysis and reporting, parametric and non-parametric regression and classification models to resolve business problems.  Assist with prototype testing and data collection.  Develop and manage production ETL flows to support predictive models. Assess data quality and perform data mining to be able to build, monitor, and validate statistical models. Build data visualization engine for processing data, developing reports and extracting actionable intelligence.  Coordinate product implementation projects. Assist with market research. Document prototype requirements using sketches, diagrams, and wireframes.  Participate in business analysis, statistical modeling and idea generation.  Conceive, develop, source, and evaluate new product innovations and enhancements of existing products. Translate research discoveries into usable and marketable products.  Identify opportunities to apply statistics to improve business performance. Internalize business problems, translate them into actionable analyses or solutions, and prepare presentations of complex statistical concepts and research results for non-technical audience. Drive the vision, strategy, and product roadmap for areas of digital client experience platform. Design and develop best-in-class digital insurance experience by leading roadmap definition, prioritization, backlog writing and grooming, and owning overall product development from concept to launch. Use qualitative customer research and data analysis to continuously inform, validate, and refine product strategy. Partner closely on all aspects of product delivery with product owners, designers, engineers, business development, and other teams. Manage multiple, concurrent projects in various phases of ideation, execution, and delivery.

What you need to have: 

Must have Master’s degree or foreign equivalent in Statistics, Computer Science, Operations Research or a related field plus two (2) years of progressively responsible experience in the job offered, or as Software Engineer or a related position.  The employer will accept Pre- or post-Master’s degree experience.  Must have two (2) years of experience: Scripting languages including Python; Programming languages; Statistical computing language including SQL, Python, and R; Authoring and maintaining business requirement documentation (BRD), product requirement documentation (PRD), and functional requirement documentation (FRD); Test-driven development (TDD) methodology and object-oriented programming (OOP); Developing and deploying user acceptance testing workflows at scale;  Waterfall, agile and lean software development;    Developing and managing scale complex ETL data flows; Data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments; Business intelligence software including Tableau, Looker, Qlikview, and MicroStrategy; ETL software; and Developing and delivering data platforms and infrastructure products.

Marsh is the world’s leading insurance broker and risk adviser. With over 35,000 colleagues operating in more than 130 countries, Marsh serves commercial and individual clients with data driven risk solutions and advisory services. Marsh is a business of Marsh & McLennan Companies (NYSE: MMC), the leading global professional services firm in the areas of risk, strategy and people. With annual revenue approaching US $17 billion and 76,000 colleagues worldwide, MMC helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. Follow Marsh on Twitter @MarshGlobal; LinkedIn; Facebook; and YouTube, or subscribe to BRINK.