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.. Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS;. Utilizing intelligent robotic process automation tools (Automation Anywhere, Pega, UiPath, etc.). Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, Power BI and QlikView.

financial crimes

Time Type: Full time Travel Requirements: Up to 20% A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements. 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 thorough 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; 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. Demonstrates thorough abilities and/or a proven record of success in a combination of some of the following areas: Leading a key work stream in an engagement(s), staying educated on current trends and assisting in the development of knowledge capital for team members; Working with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and MS Project; Supporting practice management for a specific operation or process in a consultative environment; Participating in client discussions and meetings actively; Communicating a broad range of Firm services; Managing engagements including preparing concise, accurate documents and balancing project economics management with the occurrence of unanticipated issues; and, Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s). Learn more about how we work: https://pwc.to/how-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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines For positions in California, Colorado, District of Columbia, Hawaii, Maryland, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information: https://pwc.to/payrange-v1-advisoryseniorassociate

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