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KPMG · 2 months ago

Manager, Data Science (Non-Financial Risk)

Stamford, CT

Full-time

Onsite

Senior Level

6+ years exp

KPMG is a leading advisory practice experiencing tremendous client demand. They are seeking a Manager in Data Science focused on Non-Financial Risk to lead technical projects, develop advanced AI/ML solutions, and mentor junior data scientists while collaborating with cross-functional teams.

AccountingAdviceBig DataConsultingFinancial ServicesInformation TechnologyLegalManagement ConsultingProfessional Services

No H1B

Responsibilities

Serve as the technical lead 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

Lead technical teams, mentor junior data scientists, and grow data science expertise within the broader team, including offshore; collaborate with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that AI/ML solutions meet the needs and expectations of various stakeholders

Present to key stakeholders, such as approach, data requirements, interim findings, and final solution architecture and infrastructure

Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualification

AI/ML algorithm developmentNatural Language ProcessingStatistical programming (R/Python)Data analysisPredictive modelingTeam managementCommunication skillsProblem-solving skills

Required

Minimum six years of recent professional experience working in advanced analytics and data science; minimum two years of recent experience managing teams and delivering complex and critical projects

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 with scripting, data structures and algorithms and ability to work with large amounts of data

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)

Excellent communication, written, presentation, and problem-solving skills

Ability to travel as required (based on location and clients served)

Applicants 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)