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Consultant/Senior Consultant, Forensic Data Analytics

KPMG Canada

This is a Contract position in Montreal, QC posted March 22, 2022.

Overview You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do. When you join KPMG you’ll be one of over 219,000 professionals providing audit, tax, advisory and business enablement services across 147 countries. With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this. The opportunity: The Forensic practice is interested in hiring a Data Analytics Consultant or Senior Consultant to join its forensic data analytics (“FDA”) team. The FDA team performs data analytics to provide litigation support, the quantification of damages, and investigations into fraud and other inappropriate actions. Our team also performs data analytics for external audit, internal audit and as well as for other consulting engagements. Our team is made up of accountants, programmers, business intelligence professionals, internal/IT auditors, statisticians and others that are passionate about data and have specialized skills. What you will do Work with various engagement teams to translate data requirements into data analytics routines. Develop scripts and workflows to assist with data extraction, queries, and data manipulation in accordance with business processes. Analyze client data and then present findings and suggest areas for improvement. Review new and existing systems in terms of adequacy of operational considerations. Conduct process reviews and documenting significant controls and testing internal control through data analytics. Investigate allegations of fraud, determining the cause of the incident, offering recommendations on corrective action for incidents and preserving evidence for potential legal action. Perform technical testing and domain research, and document findings. Proactively contribute to the creation of presentation materials relating to data modeling for stakeholder discussions. Deliver on-time, high quality work that meets the requirements of the engagement and KPMG’s quality standards. Utilize KPMG methodologies and techniques to deliver multiple client engagements of varying size, scope and complexity. What you bring to the role Undergraduate or graduate degree in Management Analytics, Data Management, Business Intelligence, Business Analytics, Management of Information Systems, or any other pertinent technology programs. Minimum of 1-2 years of relevant experience for Consultants. 3-4 years of relevant experience for Senior Consultants. Experience with data extraction, analysis, cleansing, quality and manipulation skills, as well as experience handling very large volumes of data. Experience with some of the following software: Alteryx, Tableau, MS Power BI, SQL, Python, ACL/IDEA A CPA designation is an asset but not obligatory. Excellent verbal and written communication skills in English and French Ability to explain the following will be considered assets: Experience in accounting and/or financial markets. Technical designations (CISSP, CISA, etc.) Reliability or Security Clearance Keys to your success: Ability to work independently, on multiple engagements simultaneously, with little supervision and within a team environment. Demonstrated ability to learn and succeed in a fast-paced environment. Attention to detail, strong organization and analytical skills. Excellent communication and presentation skills with ability to explain technical concepts to non-technical individuals Self-starter and inquisitive mind-set A creative mindset that thinks outside of the box or “makes data speak” through captivating visualizations. Our Values, The KPMG Way Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters KPMG is committed to the health and safety of our people, clients and communities. With this commitment in mind, KPMG complies with all public health mandates (provincially and/or federally, as applicable) and has implemented various safety measures, including a COVID-19 Vaccination Policy. KPMG’s COVID 19 Vaccination Policy requires all employees to be fully vaccinated if they wish to or are required to attend a KPMG office and/or other congregate settings in the course of their duties (such as client sites or third-party venues). As this role requires occasional or consistent attendance at a KPMG office and/or congregate setting, the successful candidate must be fully vaccinated (i.e. have received all doses that are recommended by Health Canada, including any boosters) and must provide KPMG with proof of vaccination. KPMG will provide reasonable accommodation if the successful candidate cannot be vaccinated due to grounds protected by human rights legislation in their province of employment. KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca. If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.Undergraduate or graduate degree in Management Analytics, Data Management, Business Intelligence, Business Analytics, Management of Information Systems, or any other pertinent technology programs. Minimum of 1-2 years of relevant experience for Consultants. 3-4 years of relevant experience for Senior Consultants. Experience with data extraction, analysis, cleansing, quality and manipulation skills, as well as experience handling very large volumes of data. Experience with some of the following software: Alteryx, Tableau, MS Power BI, SQL, Python, ACL/IDEA A CPA designation is an asset but not obligatory. Excellent verbal and written communication skills in English and French Ability to explain the following will be considered assets: Experience in accounting and/or financial markets. Technical designations (CISSP, CISA, etc.) Reliability or Security Clearance Keys to your success: Ability to work independently, on multiple engagements simultaneously, with little supervision and within a team environment. Demonstrated ability to learn and succeed in a fast-paced environment. Attention to detail, strong organization and analytical skills. Excellent communication and presentation skills with ability to explain technical concepts to non-technical individuals Self-starter and inquisitive mind-set A creative mindset that thinks outside of the box or “makes data speak” through captivating visualizations.Work with various engagement teams to translate data requirements into data analytics routines. Develop scripts and workflows to assist with data extraction, queries, and data manipulation in accordance with business processes. Analyze client data and then present findings and suggest areas for improvement. Review new and existing systems in terms of adequacy of operational considerations. Conduct process reviews and documenting significant controls and testing internal control through data analytics. Investigate allegations of fraud, determining the cause of the incident, offering recommendations on corrective action for incidents and preserving evidence for potential legal action. Perform technical testing and domain research, and document findings. Proactively contribute to the creation of presentation materials relating to data modeling for stakeholder discussions. Deliver on-time, high quality work that meets the requirements of the engagement and KPMG’s quality standards. Utilize KPMG methodologies and techniques to deliver multiple client engagements of varying size, scope and complexity.