Commission Math Major Computer Science Minor Jobs in Orlando, FL

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.
WORK SCHEDULE: 40 hours per week, M-F (9:00 a.m. - 5:00 p.m.)
TRAVEL REQUIREMENT:
Travel to various locations throughout the U.S. up to 10% is required.
JOB REQUIREMENTS:
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.
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.
Employer will accept any suitable combination of education, training, or experience.
QUALIFIED APPLICANTS:
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.
Must have legal right to work in U.S. if offered employment.
Comprehensive compensation & benefits offered.
KPMG is an EOE/disability/veteran and maintains a drug-free workplace.
No phone calls or agencies.
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 .
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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