Mercer Company · 3 months ago
Oliver Wyman - Analyst - Financial Services Quantitative Analytics (FSQA)
Oliver Wyman is a global leader in management consulting, and they are seeking an Analyst for their Financial Services Quantitative Analytics team. The role involves working with large data sets to produce customized analyses and advanced models, with a focus on delivering impactful insights to clients in the financial services industry.
Commercial Real EstateConsultingProperty ManagementReal Estate
Responsibilities
You will work as part of our small, fast-growing team, in coordination with other Oliver Wyman teams and clients across the globe
You will work with large and complex data sets producing customized analyses and advanced models using statistical techniques for the client’s needs
You will be given ownership of the model development from start to finish with guidance from experienced managers
You will work on summarizing, presenting and documenting the performed analyses and features of the developed solutions in client-ready formats
Qualification
Required
Working towards a Bachelor's or Master's degree in a quantitative discipline, e.g. Mathematics, Statistics, Physics, Economics, Data Science, Computer Science or Engineering
Strong analytics and communication skills
Strong coding skills in one or several common languages, i.e. Python, SQL, R
Experience in advanced analytics and data manipulation
Familiarity with generative AI models
Experience working effectively and collaboratively in a team, while being sufficiently self-directed to meet deadlines and produce high-quality output when working independently
Be able to find innovative, practical and flexible solutions to business issues
Excellent command of English language (verbal and written)
Preferred
Some previous specific experience (through internships or course work) in one or more of our current domain focus areas: Financial services: e.g. credit risk measurement, market risk measurement, liquidity management, stress testing, financial modelling, model validation, derivatives pricing
Supply Chain analytics: e.g. demand forecasting, network optimization, operations planning