Jobright.ai
Manager, Data Science (Non-Financial Risk), Mid Level
Jobright.ai, Boston, Massachusetts, us, 02298
Manager, Data Science (Non-Financial Risk), Mid Level
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Manager, Data Science (Non-Financial Risk), Mid Level
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Jobright.ai Manager, Data Science (Non-Financial Risk), Mid Level
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Manager, Data Science (Non-Financial Risk), Mid Level
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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: KPMG is a leading advisory firm experiencing significant growth and is seeking a Manager for their Non-Financial Risk Data Science team. The role involves leading AI/ML projects, mentoring junior team members, and collaborating with cross-functional teams to deliver advanced analytics solutions tailored to client needs. 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 Qualifications: 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) Preferred: • Previous technical client service experience preferred Company: KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 1987, headquartered in New York, NY, US, team size 10001+ employees, currently Late Stage. KPMG US has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Join to apply for the
Manager, Data Science (Non-Financial Risk), Mid Level
role at
Jobright.ai Manager, Data Science (Non-Financial Risk), Mid Level
2 days ago Be among the first 25 applicants Join to apply for the
Manager, Data Science (Non-Financial Risk), Mid Level
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: KPMG is a leading advisory firm experiencing significant growth and is seeking a Manager for their Non-Financial Risk Data Science team. The role involves leading AI/ML projects, mentoring junior team members, and collaborating with cross-functional teams to deliver advanced analytics solutions tailored to client needs. 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 Qualifications: 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) Preferred: • Previous technical client service experience preferred Company: KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 1987, headquartered in New York, NY, US, team size 10001+ employees, currently Late Stage. KPMG US has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Science Manager jobs in
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