As a Portfolio Analytics & Strategy Specialist on the Anti-Money Laundering (AML) Modeling Team, you will be based in Pittsburgh, PA and will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert potential money laundering and terrorist financing activities. In this role, you will be the AML modeling team’s primary data expert, and will support transaction monitoring for multiple products including credit cards, prepaid cards, and deposit accounts. You will work with key stakeholders across the bank to identify patterns, risk indicators, linkages, and illicit activities within the firm’s account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies.
Specific responsibilities for this role include (but are not limited to):
Use a variety of analytical techniques to extract usable information from various data sources, including customer transactional, and sanctions data sets.
Lead efforts to increase team effectiveness in utilizing Python and Hadoop
Perform long- and short-term capacity planning based on volume analysis and dynamically forecast future volumes based on historical trends.
Provide quantitative input into AML components like Threshold Tuning, Alert Risk Scoring and Risk Coverage Analysis
Leverage and apply relevant regulations in conjunction with transaction monitoring systems, including the Bank Secrecy Act and USA Patriot Act
Represent the AML Modeling Team in various forums to inform senior executives and various team partners of the firm’s AML management activities and performance
The successful candidate will have the following qualifications:
Bachelor’s degree with 5 years of relevant work experience, Master’s degree with 3 years of relevant work experience, Doctorate with 0 years of relevant work experience
Experience executing complex queries and building large data sets using tools such as SAS, SQL, and Teradata.
Strong communication skills that encompass writing, communicating, facilitating, and presenting cogently to and/or for all levels of audiences
A demonstrated history of successfully managing several projects concurrently
A demonstrated ability to develop strong relationships and partnerships within and outside of the organization
The following qualifications are preferred:
A Master’s degree or Doctorate
Hadoop and/ or Python experience
Oracle Mantas experience
Experience with advanced data programming and modeling
Experience in the financial services industry
Experience in AML risk analytics
Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. Establishes baselines for strategies and tracks actual performance to expectations.
Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk. Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight.
Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. Designs / enhances standard reporting suites for regular product / portfolio reviews.
Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.
Manages Risk - Working Experience
Assesses and effectively manages all of the risks associated with their business objectives and activities to ensure activities are in alignment with the bank's and unit's risk appetite and risk management framework.
Customer Focus - Extensive Experience
Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions.
Job Specific Competencies
Analytical Approach - Extensive Experience
Synthesizes ideas and information required for process improvement into a manageable form.
Big Data Management and Analytics - Extensive Experience
Knowledge and ability to plan and execute, big data management and analytics.
Predictive Analytics - Working Experience
Knowledge of, experience with and ability to use the tools, processes and practices for predicting business trends and providing forecasts that drive business decisions and business planning.
Risk Management Banking - Extensive Experience
Knowledge of and ability to use tools, regulations, and business practices to assess and control an organization's exposure to risk.
Credit Risk - Working Experience
Knowledge of processes, tools, and techniques used to determine the degree of credit risk in a given transaction or customer relationship; ability to assess, rate and manage exposure to credit risk.
Performance Measurement - Extensive Experience
Knowledge of and ability to utilize a variety of methods to measure the performance on a particular portfolio against industry benchmarks and related parameters.
Business Analytics - Extensive Experience
Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using advanced statistical methods to justify and drive future business planning decisions.
Regulatory Environment - Financial Services - Working Experience
Knowledge of and ability to help an organization adapt to applicable federal, state, local, and company-specific regulations, policies, and guidelines affecting business practices.
Mathematics of Financial Instruments - Extensive Experience
Knowledge of and ability to perform the mathematical calculations that underlie various financial instruments.
BANKING PRODUCTS - Working Experience
Knowledge of and ability to provide products and services available through the retail banking branch.
Pricing Models and Analytics - Working Experience
Knowledge of pricing tools, techniques and methods; ability to assess analytical and pricing models through the use of statistical principles.
Operational Risk - Working Experience
Knowledge of policies and processes for operational risk management; ability to use tools, data, and best practices to identify, assess, and manage operational risk exposures.
Required Education and Experience
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law