Fraud Technologist - Data and Analytics - Manager

technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Develop new skills outside of comfort zone.

• Act to resolve issues which prevent the team working effectively.

• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.

• Analyse complex ideas or proposals and build a range of meaningful recommendations.

• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.

• Address sub-standard work or work that does not meet firm's/client's expectations.

• Use data and insights to inform conclusions and support decision-making.

• Develop a point of view on key global trends, and how they impact clients.

• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.

• Simplify complex messages, highlighting and summarising key points.

• Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
5 year(s)

Preferred Qualifications:

Degree Preferred:
Master of Science

Preferred Fields of Study:
Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics

Preferred Knowledge/Skills:

Demonstrates extensive abilities and/or a proven record of success within the following areas:

• Consulting in the financial crimes space and working in a regulatory environment;

• Defining and driving end to end fraud transformation at client organizations by scoping and shaping strategy, business goals, innovation, programs and deliverables;

• Leading fraud platform strategy, design and architecture for enterprise clients (e.g., gateways, orchestration tools, data services, caching logic, transactional databases, data lakehouse, fraud decisioning engines e.g., FeatureSpace, Feedzai, Actimize, Verafin);

• Consulting and delivering on enterprise-wide fraud detection and prevention solutions across user and business (e.g., operations) journeys with the primary function to map fraud strategies into architecture and technology strategy;

• Knowledge of anti-fraud and identity vendor landscape;

• Demonstrating hands on experience in evaluating, implementing and managing fraud solutions;

• Demonstrating ability to deploy data driven solutions with a keen understanding of relevant fraud performance metrics;

• Demonstrating capacity to build and deploy complex data driven fraud solutions;

• Demonstrating hands on experience in facilitating the creation of or creating and managing fraud analytics strategies (rules and models);

• Demonstrating hands on experience with identity verification and identity and access management solutions;

• Understanding of fraud operational (e.g., investigations, analytics) processes; and,

• Understanding of business requirements for fraud operational (e.g., alert review, investigations, analytics) processes.

Demonstrates extensive abilities and/or a proven record of success as a team leader within the following areas:

• Developing and positioning PwC and yourself as a thought leader in the fraud detection & prevention space;

• Leading a key work stream in an engagement(s), staying educated on current trends, and assisting in the development of knowledge capital for team members;

• Collaborating with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and Project and Lotus notes;

• Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in the financial crimes space;

• Supporting practice management for a specific operation or process in a consultative environment; and,

• Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s).

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

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.

For positions in California, Colorado, Hawaii, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information: https://pwc.to/payrange-v1-advisorymanager