Associate Computer Science Jobs in River Forest, IL

• 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

• Minimum three years of recent experience with advisory-related projects within a quantitative analysis firm
• Master's degree or higher 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 is required; coursework or minor in Information Systems, Software Engineering, Data Science or Data 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 volumes of data, financial analysis and valuation, statistical analysis, building and working with economic or mathematical models, and econometric analyses
• Experience with data science, machine learning methods, and LLM-based solutions and products
• Demonstrated ability to think creatively and offer solutions to solve complex economic, financial, and business challenges for clients
• Excellent written and verbal communication skills, solid research skills, and the ability to work well both autonomously and in a team environment
• Applicant must possess a U.S. Government Secret clearance
• Applicants must be authorized to work in the U.S without the need for employment-based sponsorship now or in the future; KPMG LLP will not sponsor applicants for US work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

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.