Financial Crimes Unit - Risk Architecture Data Scientist (Python/SQL) Senior Associate at PWC

Financial Crimes Unit - Risk Architecture Data Scientist (Python/SQL) Senior Associate at PWC
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A career at PwC's Advisory Acceleration Centre is a natural extension of PwC's leading global delivery capabilities. We provide premium, cost-effective, high-quality services that support process quality and delivery capability for client engagements.

Be a Purpose-Led, Values-Driven Leader

To stand out and be future-ready in a constantly changing world, everyone at PwC must be a purpose-led and values-driven leader at every level. The PwC Professional, our global leadership development framework, helps us achieve this. It sets clear expectations across our lines, geographies, and career paths, providing transparency on the skills needed for success and career progression.

Role Overview: Senior Associate

As a Senior Associate, you'll work as part of a team of problem solvers, tackling complex business issues from strategy to execution. Your responsibilities include but are not limited to:

  • Developing self-awareness, personal strengths, and addressing development areas through feedback and reflection.
  • Delegating tasks to provide growth opportunities and coaching others to deliver results.
  • Demonstrating critical thinking to bring order to unstructured problems.
  • Using a broad range of tools and techniques to extract insights from industry or sector trends.
  • Reviewing work for quality, accuracy, and relevance.
  • Utilizing appropriate tools and explaining their use.
  • Seeking and embracing diverse opportunities and perspectives.
  • Communicating effectively and building quality relationships.
  • Upholding the firm's code of ethics and business conduct.

Specialized Role: Risk Analytics and Modeling

As a Senior Associate in our Risk Analytics and Modeling team, you'll apply your quantitative, modeling, and analytical skills to develop or validate statistical, financial engineering, and AI/machine learning models in areas such as credit risk, market risk, assets and liabilities management, fraud detection, and anti-money laundering.

Job Requirements and Preferences

Basic Qualifications:

  • Bachelor Degree
  • 3 years of experience

Preferred Qualifications:

  • Master Degree in Financial Engineering preferred.
  • Fields of Study: Economics, Statistics, Applied Mathematics, Financial Mathematics, Data Processing/Analytics/Science.

Key Skills

  • Experience with programming and data analytics tools: Python, R, SAS.
  • Knowledge of secondary languages and tools: Java, C++/C#, SQL, Tableau, Alteryx, Excel Macros/VBA/JS.
  • Application of machine learning models: multivariate regressions, Bayesian probabilities, clustering algorithms, etc.
  • Utilization of robotic process automation tools: Automation Anywhere, Pega, UiPath.
  • Conducting quantitative and qualitative analyses of large data sets in the financial crimes space.
  • Visualizing and communicating analytical results using Tableau, Spotfire, Power BI, QlikView.

Additional Responsibilities:

  • Leading key work streams, staying updated on current trends, and developing team knowledge.
  • Supporting business development, writing and presenting proposals.
  • Managing engagements, preparing accurate documents, and balancing project economics.
  • Contributing to project planning, engagement administration, budget management, and completion of engagement work streams.

Learn More About PwC: For more information, visit how we work.

Equal Opportunity Employment

PwC is an equal opportunity employer. For more details on employment policies, including those based on location, visit:

Apply Now

Find more details and apply on our company site.

CLICK HERE TO APPLY

Job Locations: Milwaukee, WI, USA; Atlanta, GA, USA; Kansas City, MO, USA; Columbus, OH, USA; Houston, TX, USA; Oklahoma City, OK, USA; Boston, MA, USA; San Antonio, TX, USA; Fort Worth, TX, USA; Birmingham, AL, USA; Little Rock, AR, USA; Detroit, MI, USA; Seattle, WA, USA; Indianapolis, IN, USA; San Diego, CA, USA; Pittsburgh, PA, USA; San Francisco, CA, USA; Philadelphia, PA, USA; Phoenix, AZ, USA; Silicon Valley, CA, USA; New York, NY, USA; Portland, OR, USA; Cleveland, OH, USA; Charlotte, NC, USA; Raleigh, NC, USA; Sacramento, CA, USA; Richmond, VA, USA; Baltimore, MD, USA; Minneapolis, MN, USA; Washington, DC, USA; Tampa, FL, USA; Las Vegas, NV, USA; Los Angeles, CA, USA; Austin, TX, USA; Grand Rapids, MI, USA; Nashville, TN, USA; Miami, FL, USA; Dallas, TX, USA; New Orleans, LA, USA; Denver, CO, USA; Chicago, IL, USA; Salt Lake City, UT, USA; Cincinnati, OH, USA; Fayetteville, AR, USA; Buffalo, NY, USA; Jacksonville, FL, USA; Albany, NY, USA; Toledo, OH, USA; Hartford, CT, USA; Louisville, KY, USA; Tulsa, OK, USA; Columbia, SC, USA; Montpelier, VT 05602, USA; Irvine, CA, USA; Rosemont, IL 60018, USA; Greensboro, NC, USA; West Palm Beach, FL, USA; Florham Park, NJ, USA; Spartanburg, SC, USA; Stamford, CT, USA; Melville, NY, USA; Rochester, NY, USA

Job ID: PricewaterhouseCoopers-543040WD

Employment Type: Other

Perks and Benefits

  • Health and Wellness: FSA, HSA, Fitness Subsidies, Health Insurance, Dental Insurance, Vision Insurance.
  • Parental Benefits: Non-Birth Parent or Paternity Leave, Birth Parent or Maternity Leave.
  • Work Flexibility: Flexible Work Hours, Remote Work Opportunities.
  • Office Life and Perks: Company Outings, Commuter Benefits Program, Casual Dress, Snacks, Some Meals Provided.
  • Vacation and Time Off: Leave of Absence, Personal/Sick Days, Paid Holidays, Paid Vacation, Sabbatical.
  • Financial and Retirement: Relocation Assistance, Performance Bonus, 401(K) with Company Matching.
  • Professional Development: Learning and Development Stipend, Mentor Program, Access to Online Courses, Tuition Reimbursement.
  • Diversity and Inclusion: Diversity, Equity, and Inclusion Program.

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