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KPMG Sr. Associate, Cyber Security Defense - AI and Digital Fraud in Saint Louis, Missouri

Business Title: Sr. Associate, Cyber Security Defense - AI and Digital Fraud

Requisition Number: 50938 - 46

Function: Advisory

Area of Interest: Tech Enablement

State: MO

City: Saint Louis


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 Senior Associate in Cyber Security for our Consulting practice.


  • Assemble data from multiple digital fraud and security tools for deeper threat insights using advanced analytics

  • Apply a firm understanding of customer identify and access management, Security Monitoring and Incident Response methodology to improving security alert handling, automation, and enforcement capacities for KPMG's clients

  • Utilize and understand the common capacities of, and data available from, common security tools, including device profiling, behavioral biometrics, multi-factor authentication, voice analytics, including tools that implement the use of machine learning to reduce digital fraud

  • Work with Data Engineers and Machine Learning Engineers to develop AI-enabled cyber solutions

  • Assist with scoping prospective engagements and developing proposals, conduct risk, threat, and gap assessments, provide written recommendations, interface with client security engineers, and work with KPMG data scientists and engineers to add advanced analytics into client's security organizations

  • Work hands-on with ETL, scripting, and ML technologies including but not limited to Splunk, Python, Alteryx and/or Tensorflow


  • Minimum three years of experience in Digital Fraud, Customer Identify and Access Management, or a technology related field

  • Bachelor's degree from an accredited college/university in an appropriate field is preferred

  • Experience in fraud detection and response, customer identity and access management, Security Monitoring, Incident Response methodology, multi-factor authentication, application logging, account takeover prevention detection and response, web and mobile device security, and common understanding of IPs, ISPs, device indicators, and other customer identify tools

  • Experience in understanding threats, the current threat landscape, and intelligence gathering with an analytical mindset in order to translate data into threat indicators faced by clients

  • Experience working with Data Science team to build data driven solutions

  • Ability and willingness to travel up to 80% of the time, work in a fast paced, results driven environment, grasp new technology, and contribute at a rapid pace

  • 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 affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

GL: 5

GF: 15304