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Sr. Quantitative Analytics - East Brunswick, United States - PNC Financial Services Group
Description
Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all our employees feel respected, valued, and have an opportunity to contribute to the company's success. As a Sr. Quantitative Analytics & Model Development Consultant within PNC's Asset Liability Management / Balance Sheet Analytics & Modeling organization, you will be based in New York, NY. or East Brunswick, NJ. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion.
As a Sr. Quantitative Analytics & Model Development Consultant you will be a critical member of a collaborative team working with internal stakeholders to understand and translate their needs. You will be overseeing a portfolio of decisioning models and analytic processes. You will support - from conception through execution and governance - models covering PNC's retail unsecured product lines across the credit risk lifecycle that contributes towards loss mitigation efforts and sound risk management.
You will utilize both Python and a modern machine learning stack that includes on premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools. You will use these tools to develop advanced risk predictive models that will be used to make decisions worth billions of dollars every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure, and useful.
Our preferred candidate will have:
•Master's degree in mathematics, Statistics, Computer Science, Engineering,
or an equivalent technical field. (Bachelor's degrees considered on a case
by case basis)
•A demonstrated history of analytic problem solving and sound judgment.
•Experience as an analyst or data scientist with a track record of
accomplishments working on cross-functional teams.
•Strong English-language verbal and written communications skills: the
ability to distill abstract business requirements into analysis, concisely
convey technical outcomes, tell a story visually with data, prepare and edit
high-quality documentation and be accepted as a trusted advisor by peers.
•Proven expertise in project management, demonstrated by a consistent
track record of identifying potential risks and proactively crafting mitigation
strategies to ensure the successful and timely completion of projects.
•Strong fundamental understanding of statistics.
•5+ years of overall experience in analytic roles developing and using
predictive, risk and/or forecasting models.
•Highly proficient in 1 or more analytical programming languages (Python, R,
SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple
environments (Unix & Windows)
•1 or more years of experience with big data platforms / integration
(Hadoop, Spark, Hive, Avro)
•Knowledge about credit risk models / scorecards.
Additional preferred skills:
•Experience developing credit risk models / scorecards.
•Domain expertise with any retail & small business banking products and/or
risk management practices.
•Experience training and deploying machine learning models using common
Python open-source frameworks (i.e., scikit-learn) and/or Python DevOps
•Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, SharePoint,
Teams and PowerBI)
•Experience working with FICO / TSYS
Job Description
Bank Quantitative Analysis - Knowledge of and ability to use numerical methods to develop statistical models for devising trading strategies.
Consulting - Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations.
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. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Education
Bachelors
Additional Job Description
Base Salary: $104,000 - $209,300
Salaries may vary within the range based on geographic location, market data and on individual skills, experience, and education.
Incentive: Role is incentive eligible with the payment based upon company, business and/or individual performance.
Application Window: Generally, this opening is expected to be posted for 48 business hours from 04/29/2024,although longer with business discretion
Benefits
PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit > New to PNC.
Disability Accommodations Statement:
If an accommodation is required to participate in the application process, please contact us via email at Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO):
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.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.