Manager, Data Science; Non-Financial Risk

Manager, Data Science (Non-Financial Risk)

Join KPMG US as Manager, Data Science (Non-Financial Risk) and help clients solve complex operational risk problems using advanced AI/ML solutions.

KPMG Advisory practice is growing rapidly. Our professionals thrive in a collaborative, team-driven culture and receive world‑class training and development opportunities.

• Serve as technical lead on projects to design and develop AI/ML solutions for clients' unique requirements, including gathering business use case requirements and providing analytics expertise.
• Engineer solutions using NLP and machine learning to address problems in markets and financial services (e.g., trade surveillance, electronic communications, payments fraud detection, third‑party risk management).
• Apply ML, NLP, and statistical methods such as sentiment analysis, topic modeling, time‑series analysis, regression, classification, and inference to review client risks.
• Perform explanatory data analyses, generate and test hypotheses, and identify patterns to develop innovative solutions to regulatory compliance programs.
• Lead technical teams, mentor junior data scientists, and grow data science expertise across broader teams, including offshore, ensuring that solutions meet stakeholder requirements.
• Present findings and solution architecture to key stakeholders.
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment.

• Minimum six years of recent professional experience in advanced analytics and data science; at least two years of recent experience managing teams and delivering complex projects.
• Bachelor’s degree in a STEM field (data science, computer science, engineering, mathematics, physics, etc.).
• Extensive experience in AI/ML algorithm development and data analysis, including NLP, time‑series, or predictive modeling; proficiency with scripting, data structures, and handling large data sets.
• Experience with a statistical programming language such as R or Python and related packages (Pandas, Scikit‑learn, Pytorch, Transformers).
• Excellent communication, written, presentation, and problem‑solving skills.
• Previous technical client service experience preferred.
• Ability to travel as required.
• Applicants must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future; KPMG will not sponsor this opportunity.

Mid‑Senior level

Full‑time

General Business

KPMG is an equal opportunity employer. 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.

No phone calls or agencies please.

** Note**:
This position is open until filled. Candidates are encouraged to apply promptly if qualified.