Healthcare Service Line Director jobs in South Carolina

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 Associate, 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:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.

As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
3 year(s)

Preferred Qualifications:

Preferred Fields of Study:
Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science

Additional Educational Preferences:

Master Degree in Financial Engineering is also preferred.

Preferred Knowledge/Skills:

Demonstrates some abilities and/or a proven record of success in the implementation of Advanced Data Analytics and modeling that include:

• Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS;
• Working knowledge of the following secondary languages and tools is a plus: Java, C /C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS;
• Displaying understanding of advanced AI/machine learning, statistical/econometric modeling techniques, and financial engineering methods to develop and/or validate models (Masters-level coursework in at least one of these subject areas is preferred);
• Demonstrating knowledge of the financial services industry;
• Demonstrating exposure to modeling methodologies in at least one of the following areas: credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics areas; and,
• Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc.