Senior Associate, Data Science
About the role
At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to a wide array of business opportunities and challenges. Develop your career through multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm.
Responsibilities
- Perform statistical, economic, and financial analysis on economic, regulatory and policy issues of significance to a range of clients in the public and private sectors, both domestically and internationally
- Develop and apply complex computer algorithms to process and manage data, build tools, and automate manual tasks
- Advance mathematical and computational models to simulate impact of policy changes or business decisions
- Manipulate large data sets to support statistical, economic, financial analyses and apply creative, innovative, lateral thinking to problem solving
- Craft rigorous, insightful narratives on the issues under analysis and translate these into informative professional reports and presentations as needed that are accessible to non-specialists but add value for clients
- Write technical and non-technical memoranda and reports based on research and findings from analyses
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications
- Minimum three years of recent experience with advisory-related projects within a quantitative analysis firm
- Master's or higher degree from an accredited college/university preferred; minimum of a Bachelor's degree in economics, statistics, mathematics, applied mathematics or computer science from an accredited college/university; coursework or minor in information systems, software engineering, computer science or data and analytics
- Minimum two years of experience with one of the following data analysis software such as STATA, SAS, Python, SQL and R
- Experience with management and analysis of large