Senior Associate, EVS, Economic & Statistical Consulting - PhD

At KPMG, you can become an integral part of a dynamic team at one of the world's top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMG's 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 complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it's an investment in our people, our future, and what we stand for as a firm

KPMG is currently seeking a Senior Associate to join our Economic & Statistical Consulting practice.

Responsibilities:

• Perform statistical 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 quantitative models (such as machine learning, optimization, natural language processing, regression analysis) to process large data sets and conduct complex analyses
• Build and apply complex financial models to analyze and price complex transactions and financial instruments
• 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 our clients
• Apply creative, innovative, lateral thinking to problem solving
• Contribute to the development and maintenance of KPMG's suite of market-leading economic and financial models with a variety of econometric and statistical applications

Qualifications:

• Minimum two years of recent experience in the development, application, and interpretation of complex economic and statistical modeling frameworks
• Ph.D. in economics, statistics or applied mathematics from an accredited college/university
• Excellent technical skills, including in fields such as econometrics, mathematics, empirical software applications and modelling packages (such as Python, SAS, Stata, Matlab and R). Expertise in Python is a must.
• Demonstrated research skills and knowledge of various program evaluation designs (such as mixed-methods, experimental and non-experimental methods)
• Exceptional research, written and verbal communication skills; ability to work well both autonomously and in a team environment
• Good organizational skills and comfort with multi-tasking

KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at "Benefits & How We Work".