29 days old

Risk Data and Analytics - Model Risk and Validation - Manager

Mclean, VA 22102
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A career in our Model Risk and Validation practice, within Risk Data and Analytics services, will provide you with the opportunity to help our clients develop a strategic and sustainable approach to harness the value of their data and drive business results. We work with organisations across industries to develop customised, cost effective technology solutions that focus on delivering the relevant, actionable intelligence that executives need to understand operations and manage critical risks.As part of the team, youll help organisations manage the deployment and maintenance of complex models used for risk management and valuation.


As a Manager, youll 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 a portfolio of clients, while reporting to Senior Managers and above
  • Be involved in the financial management of clients
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients
  • Contribute to the development of your own and teams technical acumen
  • Develop strategies to solve complex technical challenges
  • Assist in the management and delivering of large projects
  • Train, coach, and supervise staff
  • Keep up to date with local and national business and economic issues
  • Continue to develop internal relationships and your PwC brand

Degree Preferred:
Doctor of Philosophy

Additional Educational Preferences:
A combination of an advanced Statistics degree with an undergraduate or graduate degree in Finance and/or Economics will be considered.

Preferred Knowledge/Skills:
Demonstrates extensive knowledge of, and a proven record of success in roles, managing and executing data analytics projects within the Financial Services sector, including banking industry, consulting, or government regulatory positions, which includes emphasis in the following areas:
- Financial and/or econometric modeling;
- Credit risk models, mortgage prepayment models, and/or complex discounted cash flow models;
- Techniques for analysis of complex financial services data, including programming and computational techniques for large data sets and quantitative analyses;
- Statistical techniques for analyzing financial data, including: sampling, optimization, logistic regression, and cluster analyses; and,
- Visualization techniques for summarizing complex financial data analyses.

Demonstrates extensive abilities and a proven record of success as a manager of engagements and project teams, preferably for a global consulting partnership, which includes the following skills:
- Managing teams that use industry-leading programming and analytical tools to analyze AML data, including SAS, R, C++, SPSS, Oracle, SQL Utilizing advanced statistical and/or econometric modeling techniques and complex Excel-based spreadsheet models;
- Programming within SAS, as well as performing in Visual Basic, SQL, or C++ environments;
- Utilizing verbal and written communication skills to interface effectively with modelers and all levels of client management;
- Understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seeking guidance, clarification and feedback Identifying and addressing client needs, which includes the following: building solid relationships with clients; developing an awareness of Firm services; approaching client in an organized manner; delivering clear requests for information; demonstrating flexibility in prioritizing and completing tasks; communicating potential conflicts to a supervisor;
- Prioritizing and handling multiple tasks; researching and analyzing pertinent client, industry, and technical matters; utilizing problem-solving skills; and, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment.

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.
Posted: 2019-01-25 Expires: 2019-02-24

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Risk Data and Analytics - Model Risk and Validation - Manager

Mclean, VA 22102

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