KPMG Manager Forensic Technology Data Analytics in New York, New York
Manager Forensic Technology Data Analytics
New York, New York
Requisition #: 34066
Practice Area: Advisory
Location: Chicago, IL; Montvale, NJ; Short Hills, NJ; New York, NY
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager Forensic Technology Data Analytics in Risk Strategy & Compliance - Forensic for ourpractice.
Assist Advisory financial services clients in evaluating, validating, enhancing, and automating financial crimes systems such as anti-money laundering, sanctions systems, and fraud prevention/detection systems
Select features and building and optimizing classifiers using machine learning techniques
Data mining using methods for pattern discovery and clustering and perform testing or algorithms to identify problems and measure performance
Process, clean, and verify the integrity of data used for analysis
Enhance data collection procedures to include information that is relevant for building analytic systems
Write reports summarizing project work conducted for review by KPMG project leadership and ultimately the client
Minimum of five years of relevant professional experience
Bachelor's Degree from an accredited college/university in one of the following areas: Computer Science, Statistics, Data Science, Economics, Mathematics
Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, CART and other tree based models.
Experience with common data science toolkits such as R, Python, MatLab, SAS, SPSS, SQL, or Tableau
Experience in the concepts of statistical inference such as hypothesis testing, confidence intervals, probability, ANOVA, or Chi-Square
Statistics skills such as distributions, statistical testing, and regressions
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service or military status, genetic information, genetic disposition and or carrier status, domestic violence status, personal appearance, family responsibility, matriculation or political affiliation, status with regard to public assistance, or other legally protected status. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please.
KPMG offers a range of medical insurance options to meet your needs as well as prescription drug coverage, health care flexible spending accounts, and dependent day care flexible spending accounts.
Personal Time Off (PTO)
Up to 30 PTO Days per year (depending on job classification/level/years of service).
401(k) and Pension Plans
Dependent Care Flexible Spending Account
Health Care Flexible Spending Account
Mortgage Assistance Program
Hyatt Legal Plan
Benefits vary by employment status.