What can you expect?

• Centralize and accelerate R&D prototyping
• Liaise closely with the Marsh International teams to enhance or develop one of the following – Cost of Risk models, D&O models, tailoring impact of Cyber for key regions
• Extensive research on how to tailor and tweak the existing models to suit regional needs
• Work very closely with the Marsh Analytics Solutions (actuarial capability) teams to build domain understanding
• Data curation and development of local algorithms and running simulations for Marsh Digital teams to deploy on AWS Cloud

What is in it for you?

• Opportunity to be a part of world’s leading insurance broker
• A competitive salary, employee friendly policies, health care and insurance for you and dependants
• A respectful work environment that values healthy work-life balance
• Be a member of the elite Data Science Community (DSCo) at MMGS India and work directly with the Knowledge Services leaders to build solutions to support strategic initiatives
• Future career opportunities across a global organization
• Chance to be a part of a dynamic work culture that rewards innovation and collaboration
• Curated training programs to bring up to speed with Insurance knowledge
• Opportunity to partner with Marsh colleagues across geographies

We will count on you to:

• Mine and analyse data from existing databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Assess the need, effectiveness and discovery of new data sources and data gathering techniques through extensive research
• Develop custom data models and algorithms to enhance current value proposition and new product developments
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Work in a diverse environment by partnering with various Marsh international teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyse model performance and data accuracy
• Build sophisticated risk model and take ownership of the product for various geographies
• Enhance and/or develop one of the following by incorporating regional nuances – Cost of Risk models, D&O models, Cyber models

What you need to have: 

• We’re looking for someone with 5-8 years of experience building statistical models and associated data architectures
• Bachelor’s/Master’s in Statistics, Mathematics, Computer Science or another quantitative field
• Strong problem solving skills with an emphasis on research & product development
• Knowledge and demonstrated experience of advanced statistical techniques, concepts and applications – Stochastic Modelling, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Expert level proficiency in statistical and computer languages like Python (must have), R, SQL, etc.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Experience in querying databases
• A drive to learn and master new technologies and techniques
• Domain experience with Insurance would be preferred
• Excellent written and verbal communication skills for coordinating across teams

What makes you stand out?

• Strong academic rigour with statistics and data science skills from top tier colleges
• Strong programming skills and technical individual contributor
• Ability to take initiatives to strive for improvement in analytics techniques, process and output
• Knowledge of Tableau and AWS cloud will be an added advantage