Quantitative Analytics Specialist
1 day ago
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.
- 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.
- 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.
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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