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PwC Data Scientist - Forensics Fraud Analytics 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.

Responsibilities

As a Senior 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 in the management of several clients, while reporting to Managers and above

  • Train and lead staff

  • Establish effective working relationships directly with clients

  • Contribute to the development of your own and team’s technical acumen

  • Keep up to date with local and national business and economic issues

  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients

  • Continue to develop internal relationships and your PwC brand

Additional Responsibilities :

Fraud Analytics Sr. Associates will join a team with extensive consulting/industry experience to help clients solve complex problems from strategy to execution including assisting with analytics-driven fraud prevention & detection strategies, developing & implementing effective fraud strategies to mitigate losses while establishing a balance between risk & customer experience, & assisting in client financial management & business development to help identify opportunities on new/existing clients.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Minimum Years of Experience :

3 year(s)

Preferred Qualifications :

Degree Preferred :

Bachelor Degree

Preferred Fields of Study :

Management Information Systems, Engineering, Accounting, Computer and Information Science, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science

Certification(s) Preferred :

Database and programming certifications, such as Oracle, MS SQL Server; CPA; and/or PMI. Certified Fraud Examiner is a plus.

Preferred Knowledge/Skills :

Demonstrates a thorough level of knowledge and/or proven record of success as an individual contributor or team leader involving fraud risk, fraud prevention and detection, and/or data analytics, preferably for a global network of professional services firms, including the following areas:

  • Leveraging thorough level of knowledge of SQL, Python or R, Data science skills and a knowledge of supervised and unsupervised machine learning, and social network analysis;

  • Demonstrating considerable experience with big data tools such as Hadoop & cloud computing, such as PySpark, & cloud machine learning tools;

  • Understanding of anti-fraud business domain knowledge in the ecommerce, payments, healthcare, & banking industries;

  • Demonstrating considerable ability developing fraud detection rules and/or models deployed in systems such as Actimize, FICO Falcon, SAS Fraud Management, or other platforms;

  • Leveraging considerable experience with data visualization tools such as Tableau, Spotfire, or QlikView; and,

  • Evaluating new tools and products that enhance risk detection & prevention;

Demonstrates a thorough level of abilities with, and/or a proven record of success in identifying and addressing client needs by:

  • Applying considerable level of knowledge of subject matter to the development & prioritization of anti-fraud strategies, analytics, models, & operations;

  • Managing engagement teams & competing priorities in a rapidly growing, cross-functional, fast-paced, interactive, results-based team environment;

  • Providing communication to business, risk, compliance, operations, technology, and analytics stakeholders on client engagements;

  • Fostering positive working relationship with clients & working effectively with client management & staff at all levels to gather information & perform services, and experience identifying and addressing client needs;

  • Displaying thorough written/verbal communication skills, including using presentation specialization to convey complex ideas to clients/internal staff;

  • Managing engagements including preparing concise & accurate documents & maintaining project economics while maintaining flexibility for unanticipated issues;

  • Providing candid, meaningful feedback in a timely manner; and,

  • Keeping leadership informed of progress and issues; and, answering questions and providing direction to less-experienced staff.

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.

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