PwC · 2 days ago

Senior Associate - Risk Architecture Data Scientist

St Louis, MO

Full-time

Onsite

Senior Level

3+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

AccountingBusiness Development

Insider Connection @PwC

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonRSASJavaC++/C#SQLTableauAlteryxExcel MacrosVBAJSMachine LearningDynamic ProgrammingStochastic ProcessesQueuing TheoryAlgorithmic KnowledgeRobotic Process AutomationAutomation AnywherePegaUiPathQuantitative AnalysisQualitative AnalysisFinancial CrimesData VisualizationSpotfirePower BIQlikViewEconomicsStatisticsApplied Mathematics

Required

Minimum Degree Required Bachelor Degree

Minimum Years Of Experience 3 year(s)

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;

Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge;

Utilizing intelligent robotic process automation tools (Automation Anywhere, Pega, UiPath, etc.);

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; and,

Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, Power BI and QlikView.