PwC Investigative Analytics Associate in New York, New York
A career in our Investigative Analytics practice, within Forensics Technology services, will provide you with the opportunity to help our clients protect their business in today’s evolving landscape by applying advanced and strategic approaches to information management. We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events which includes litigation, regulatory requests and internal investigations.
Our team helps design and build investigation support systems for our clients that work with, review, and provide insights of the data under investigation without the need for complex data analysis skills and without the risk of damaging the underlying evidence.
As an Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:
Proactively assist the team in various aspects of the project
Contribute to the development of your own and team’s technical acumen
Keep up to date with local and national business and economic issues
Ensure you are adhering to compliance matters
Work on developing internal relationships and your PwC brand
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Required Fields of Study :
Accounting, Accounting & Technology, Computer and Information Science, Computer and Information Science & Accounting, Economics and Finance & Technology, Economics, Finance, Finance & Technology, Mathematics, Management Information Systems & Accounting, Management Information Systems, Engineering, Business Administration/Management
Minimum Years of Experience :
1 year(s) of consulting or relevant industry experience in data analytics and / or financial management
Preferred Qualifications :
Degree Preferred :
Certification(s) Preferred :
Database and programming certifications, such as Oracle, MS SQL Server; CPA; PMI; and/or Certified Fraud Examiner
Preferred Knowledge/Skills :
Demonstrates some abilities and/or a proven record of success in individual contributor roles involving, forensic technology, forensic accounting and/or technical investigations within the Fraud Risk domain, preferably for a global network of professional services firms, including the following areas:
Understanding the business transaction environment, such as divestitures, mergers and acquisitions;
Performing in or maintaining relational and NoSQL Databases, especially utilizing one or more of the following environments: Data Visualization Tools - Tableau; Spotfire, QlikView, etc., R or Base SASData Analytics - Microsoft SQL, Oracle, Informatica; or, VBA or Python; Apache Spark, Apache Kafka;
Performing in and utilizing Machine Learning Analytics;
Understanding ERPs, especially multiple business and accounting cycles, financial reporting activities, and data models; and,
Understanding industry-specific business processes and accounting practices, such as Healthcare, Oil and Gas, Utilities, etc.
Demonstrates some abilities and/or a proven record of success with forensic technology, forensic accounting and/or technical investigations within the Fraud Risk domain, preferably for a global network of professional services firms, including the following areas:
Navigating multiple engagements and competing priorities in a rapidly growing, cross-functional, fast-paced, interactive, results-based team environment;
Working effectively on accounting-related and business consulting projects;
Working within teams to translate business and accounting requirements into technical solutions? specifications;
Creating, managing, and utilizing machine analytics, and high performance relational and NoSQL databases, such as Microsoft SQL Server, Oracle, Microsoft Access, OLAP, Hadoop, Hive, MongoDB, and other proprietary software;
Gathering, standardizing, and analyzing voluminous transactional electronic data, such as banking records, general ledgers, sales and inventory data;
Querying and mining large data sets to discover transaction patterns, examining financial data and filtering for targeted information using traditional as well as predictive/advanced analytic methodologies;
Designing and developing user interfaces and database reports;
Supervising and training junior associates in the aforementioned activities;
Assisting leadership in creating proposals, budgets, work-plans and other business development activities as appropriate;
Fostering a positive working relationship with clients and working effectively with client management and staff at all levels to gather information and perform services; and,
Communicating cogently when writing, speaking and/or presenting both internally and externally.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.