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PwC Risk & Reg, Data & Analytics Technology, Credit Risk, Senior Associate in Washington, District Of Columbia

Specialty/Competency: Data, Analytics & AI

Industry/Sector: Banking and Capital Markets

Time Type: Full time

Travel Requirements: Up to 20%

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 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.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Master Degree

Required Fields of Study :

Economics, Statistics

Minimum Years of Experience :

3 year(s)

Preferred Qualifications :

Degree Preferred :

Doctor of Philosophy

Preferred Knowledge/Skills :

Demonstrates thorough knowledge and/or a proven record of success developing and/or validating testing of models within the Financial Services sector, including the banking industry, consulting, or government regulatory positions, including the following areas:

  • Econometric/statistical and analytical modeling;

  • Retail and/or wholesale credit risk models, mortgage prepayment models, and/or complex discounted cash flow models;

  • Analyze techniques 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, linear regression, decision tree analysis, and cluster analyses; and,

  • Model documentation and/or model validation report writing; and Visualization techniques for summarizing complex financial data analyses.

Demonstrates thorough abilities and/or a proven record of success in the following areas:

  • Utilizing SAS, R or Python software, Excel/VBA, SQL, and other programming languages and applications;

  • Assisting clients with a broad range of model development, model testing, model documentation, and model validation tasks; - Performing data analysis and manipulation;

  • Performing statistical model development, estimation, and testing;

  • Performing analysis and validation testing of statistical and other analytical models developed by PwC’s clients;

  • Drafting model documentation and validation reports which focus on the following model types: Retail (e.g., mortgages, credit cards, auto loans), wholesale (e.g. Commercial and Industrial, Commercial Real Estate), credit risk models, including underwriting credit scorecards, portfolio credit monitoring models, CCAR and DFAST credit loss forecasting models, based PD/LGD/EAD models, and allowance for loan and lease loss models;

  • Using time series regression models (e.g., CCAR PPNR models), Macroeconomic forecasting / scenario generation models, marketing models; and other statistical and non-statistical models;

  • Performing advanced statistical and/or econometric modeling with SAS, R, SQL and other statistical and data analysis languages and applications;

  • Leveraging experience with Microsoft Excel and Access, including VBA;

  • Utilizing verbal and written communication skills to interface effectively with modelers/validators and all levels of client management;

  • 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 building solid relationships with clients, developing an awareness of Firm services, approaching client in an organized manner, and 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; and,

  • Utilizing problem-solving skills, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment.

At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-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 based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniorassociate.

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