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PNC · 3 months ago

Quantitative Analytics & Model Development Expert - Balance Sheet Analytics & Modeling

Pittsburgh, PA

Full-time

Onsite

Senior Level, Lead/Staff

$100K/yr - $254K/yr

8+ years exp

PNC is a leading financial services company committed to delivering the best experience for its customers. They are seeking a Quantitative Analytics & Model Development Expert to work within the Balance Sheet Analytics & Modeling organization, focusing on building models to detect and avert concerning patterns of account activity. The role involves collaborating with stakeholders, utilizing statistical techniques, and leading innovative projects in Anti-Money Laundering analytics.

BankingFinanceFinancial Services

No H1B

Responsibilities

Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets

Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation

Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts

Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders

Provides strategic and analytical insights around quantitative analyses, processes, and validations

Reviews complex quantitative analyses and models and engages with the Line of Business to enhance model development by incorporating business feedback

Oversees the development of new model frameworks by supporting the line of business and provides consultative feedback around improvements

Reviews any recommended changes to existing models

Conducts executive level communication during the course of the review

Performs the most complex qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity

Reviews reports and associated quantitative analysis and provides analytical insight into potential areas of improvement

Reviews validation of existing models and assesses model risks

Reviews the evaluations of identified model risks and provides high level consultation around recommended conclusions on strengths and limitations of the model

Provides consultative feedback around the preparation and analysis of regulatory compliance documents

Qualification

Statistical methodsMachine learning algorithmsData miningModel developmentPythonBig data technologiesCloud platformsAnalytical ThinkingEffective CommunicationsTeamwork skillsCritical thinking

Required

Master's or PhD degree in Statistics or Econometrics

Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing

Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling

Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms

Strong programming skills in Python, PySpark, R, SAS, and/or SQL

Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc

Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model

Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems

Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners

Proven ability to lead and mentor other data scientists

Ability to manage multiple projects simultaneously

Strong teamwork skills and ability to work across different departments

Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions

Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework