56 applicants

Company

Original Job Post

PwC · 2 days ago

AML and Data Analytics Sr Associate

New York, NY

Full-time

Hybrid

Senior Level

3+ years exp

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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.

Statistical MethodsData MiningData-Driven Problem SolvingConsultingFinancial CrimesRegulatory EnvironmentCompliance ManagementAML/BSA LawsOFAC RegulationsProject ManagementData MappingData ProfilingSystem TuningSystem OptimizationAnti-Money LaunderingSanctions SystemsProgramming ToolsData Analytics ToolsPythonRSASMachine Learning ModelsMultivariate RegressionsBayesian ProbabilitiesClustering AlgorithmsDynamic ProgrammingStochastic ProcessesQueuing TheoryAlgorithmic KnowledgeRobotic Process Automation

Required

Minimum Degree Required Bachelor Degree

Minimum Years Of Experience 3 year(s)

Demonstrates thorough abilities and/or a proven record of success in the application of statistical methods, data mining or data-driven problem solving

Consulting in the financial crimes space and working in a regulatory environment

Managing compliance-related consulting engagements, including AML/BSA and OFAC laws and regulations as well having a thorough understanding and experience of how to apply such requirements in a business

Utilizing project knowledge of AML systems (including data mapping and profiling, and system tuning and optimization) and leading sanctions and RPA systems

Providing end-to-end implementation of Anti-Money Laundering (AML) and sanctions systems and platforms

Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS

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.), and AML systems technologies (Actimize, Mantas, FircoSoft, 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

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

Preferred

Preferred Fields of Study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Mathematics, Mathematical Statistics, Mathematical Economics, Operations Management/Research, Statistics, Data Processing/Analytics/Science