Senior Associate, Data Scientist (Non-Financial Risk)

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Associate, NFR Data Science in Non-Financial Risk for our Consulting practice. Responsibilities:

• Serve as a technical resource on projects to design and develop advanced AI/ML solutions to meet clients' unique requirements, including participation in internal and external discussions to gather business use case requirements, provide advanced analytics and data science expertise and solution options for business problems
• Engineer solutions using natural language processing and machine learning techniques to solve critical problems and improve processes for clients across capital markets and financial services businesses, including trade surveillance, electronic communications surveillance, payments fraud detection, third-party risk management and other operational risk categories
• Utilize machine learning, natural language, and statistical analysis methods, such as sentiment analysis, topic modeling, time-series analysis, regression, classification, statistical inference, and validation methods to review financial services client risks
• Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns to develop innovative solutions to financial services operational risk and regulatory compliance programs
• Mentor junior data scientists and help to grow data science expertise within the broader team, including offshore
• Collaborate with diverse, cross-functional teams to accurately identify and prioritize requirements, helping to ensure that AI/ML solutions meet the needs and expectations of various stakeholders

Qualifications:

• Minimum three years of recent professional experience working in advanced analytics and data science
• Bachelor's degree from an accredited college/university in a relevant STEM field such as data science, computer science, engineering, mathematics, physics and other related fields
• Extensive experience in AI/ML algorithm development and data analysis including at least one of the following: NLP, time-series analysis, predictive modeling
• Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers); experience with scripting, data structures and algorithms and ability to work with large amounts of data
• Excellent communication, written, presentation, and problem-solving skills
• Previous technical client service experience preferred
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. 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) and have the ability to travel regularly

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