Quantitative Analytics Specialist

1 day ago

Pittsburgh, Pennsylvania, United States PNC Full time
Job Title: Quantitative Analytics

At PNC, we are seeking a highly skilled Quantitative Analytics professional to join our team. As a key member of our organization, you will be responsible for developing and maintaining advanced statistical models to support our retail businesses.

Key Responsibilities:
  • Develop and maintain Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for retail portfolios.
  • Collaborate with business partners and risk management teams to improve models and analytics.
  • Work closely with model risk management teams on validations and resolving model issues.
  • Produce analytics in support of model development or other business needs that require employing statistical methodologies and/or data processing skills.
  • Create presentations on model methodologies and outcomes to senior management and governance committees.
Qualifications:
  • Experience developing PD, LGD, and EAD models for retail portfolios.
  • At least 5+ years of working experience in a financial services industry in the area of credit risk.
  • Advanced degree (Masters or PhD) in Quantitative discipline such as Statistics, Mathematics, Operations Research, Econometrics, etc.
  • Advanced knowledge of Statistical Methods for model building, Machine Learning, and Big Data.
  • Excellent programming knowledge in SAS/Python or R.
  • Experience in programming in a Unix environment.
  • Excellent data manipulation skills on large data sets with ability to source data from Oracle/SQL/Hadoop.
  • Ability to solve problems while working under pressure, and undertake, execute and deliver on-time multiple simultaneous projects under tight deadlines.
  • A team player with the ability to develop relationships with non-quantitative partners and stakeholders.
Competencies:
  • Bank Quantitative Analysis – Knowledge of and ability to use numerical methods to develop statistical models for devising trading strategies.
  • Data Gathering and Reporting – Knowledge of and ability to utilize tools, techniques and processes for gathering and reporting data in a particular department or division of a company.
  • Effective Communications – Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
  • Predictive Analytics – 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.
  • Quantitative Techniques – Knowledge of and ability to use quantitative tools and techniques to measure and analyze risks.
  • Regulatory Environment - Financial Services – Knowledge of and ability to help an organization adapt to applicable federal, state, local, and company-specific regulations, policies, and guidelines affecting business practices.
  • Testing – Knowledge of and ability to plan, implement and manage testing strategies, policies and practices that assure the delivery of high quality applications.
Work 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.

Education:

Bachelor's degree (required)

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