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Fraud Technologist - Data and Analytics - Sr. Manager

Company: PwC
Location: New York
Posted on: April 2, 2024

Job Description:

Specialty/Competency: Data, Analytics & AI
Industry/Sector: Banking and Capital Markets
Time Type: Full time
Travel Requirements: Up to 40%

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their 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 Senior 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:

  • Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
  • Deal effectively with ambiguous and unstructured problems and situations.
  • Initiate open and candid coaching conversations at all levels.
  • Move easily between big picture thinking and managing relevant detail.
  • Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
  • Contribute technical knowledge in area of specialism.
  • Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
  • Navigate the complexities of cross-border and/or diverse teams and engagements.
  • Initiate and lead open conversations with teams, clients and stakeholders to build trust.
  • 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 :
    7 year(s)

    Preferred Qualifications :

    Degree Preferred :
    Master Degree

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

    Preferred Knowledge/Skills :

    Demonstrates intimate-level 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 leadership and guidance in evaluating, implementing and managing fraud solutions;
    • Demonstrating ability to manage the deployment of data driven solutions with a keen understanding of relevant fraud performance metrics;
    • Demonstrating capacity to manage deployment of complex data driven fraud solutions;
    • Demonstrating the ability to guide stakeholders and team members to derive maximum results when 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;and,
    • Understanding of fraud operational processes(e.g., investigations, analytics).

      Demonstrates intimate 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-advisoryseniormanager

Keywords: PwC, New York , Fraud Technologist - Data and Analytics - Sr. Manager, Executive , New York, New York

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