<p>Develop and apply complex economic and financial models for clients across projects using computer software, such as STATA, SAS, Python, SQL, or R. Perform financial, statistical, and economic analysis on regulatory (e.g., validation of compliance with federal laws) and policy issues of significance to a range of clients in the public and private sectors including US Federal agencies, state agencies, and multinational financial institutions. Develop mathematical and computational models and estimate using machine learning methods to predict the impact of policy changes or business decisions or to predict potential risks or fraud. Manipulate large data sets to support validation of financial analyses, such as conducting Comprehensive Capital and Analysis Review (CCAR) using the Dodd-Frank Act stress tests (DFAST) and craft technical and non-technical memoranda on the analyses. Translate statistical and econometric analyses, such as time series, panel data, multinomial logit, vector autoregression, and error correction models, into informative professional reports and presentations that are accessible to non-specialists. Pursue business development opportunities and lead and write proposals. Establish and maintain client relationships and professional networks. Organize large project teams in scoping and executing projects.</p>

<p>WORK SCHEDULE: 40 hours per week, M-F (9:00 a.m. – 5:00 p.m.)</p><p>TRAVEL REQUIREMENT: </p><p>Travel to various locations throughout the U.S. up to 10% is required.</p><p>JOB REQUIREMENTS:</p><p>Must have a Master’s degree or foreign equivalent in Finance, Economics, Statistics, Applied Mathematics, Computer Science, Information Management, or a related field, and 3 years of related work experience; OR a Ph.D. in Finance, Economics, Statistics, Applied Mathematics, Computer Science, Information Management, or a related field and 2 years of related work experience; OR a Bachelor’s degree or foreign equivalent in Finance, Economics, Statistics, Applied Mathematics, Computer Science, Information Management, or a related field, and 7 years of related work experience, out of which 5 years must be post-bachelor’s, progressive related work experience.</p><p>Of the required experience, must have 2 years of experience with the following: Data management and data engineering in cloud environment, such as AWS (Amazon Web Services) and Microsoft Azure; Financial analysis for Comprehensive Capital and Analysis Review (CCAR) using the Dodd-Frank Act stress tests (DFAST) for capital planning and adequacy and resilience; Statistical analysis, including fair lending for financial institutions; Development, validation, and documentation of economic, financial, and mathematical models; Econometric and regression analyses including time series and panel data, multinomial logit, vector autoregression, error correction models; Machine learning methods including Natural Language Processing (NLP); Predictive analyses of risk or fraud for business decisions and compliance with regulations; and Utilizing STATA, SAS, Python, SQL, or R.</p><p>Employer will accept any suitable combination of education, training, or experience.</p><p>QUALIFIED APPLICANTS:</p><p>Apply online at https://www.kpmguscareers.com/job-search and type requisition number 134426 in the keyword search box for Experienced Professionals. Should you have any difficulty in applying for this position through our website, please contact us-hrscatsadmin@kpmg.com for assistance in the application process.</p><p>Must have legal right to work in U.S. if offered employment.</p><p>Comprehensive compensation &amp; benefits offered.</p><p>KPMG is an EOE/disability/veteran and maintains a drug-free workplace.</p><p>No phone calls or agencies.</p>

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