Deloitte Hiring for SAS Modeling Specialist at Philadelphia, Pennsylvania Full Time

Are you looking to make an impact by helping agencies meet their mission goals through successful implementation and operation of their regulatory, mission or compliance programs? Are you ready to help our clients mitigate risks that arise from transformational core business operational change or ongoing operations? Are you interested in helping clients transform how they operate their business to be more effective? If so, Deloitte’s Regulatory Compliance team could be the place for you! Our team brings professionals with diverse skillsets including deep experience in industry, AI-enabled data analytics, statistical modeling, and cloud technologies to help our clients preserve their reputation and public trust of their agencies while managing regulatory demands.

Work you’ll do

In this role you will create new data models from scratch for the current economic environment to project losses from agreements with acquiring institutions. You will develop approach with client, develop code, develop controls, create documentation process, process flows and guides, and data inputs.

The team

Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

We bring a diverse set of forward thinking capabilities to help agencies proactively manage risks they face in their dynamically changing environments. Our team assesses and transforms the process, controls, and/or infrastructure needed to help our clients address a wide variety of regulatory and compliance risks. We leverage solutions that align to the end-to-end regulatory lifecycle through leveraging AI technology and innovative solutions that incorporate industry as well as domain knowledge.

Qualifications:

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics)

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

• Must currently hold or be able to obtain Public Trust Clearance

• Excellent problem-solving skills and a keen attention to detail

• Strong communication and collaboration skills

• Experience interfacing with clients and leading projects

• Experience in credit subsidy modeling

• 5+ years of experience as one of the following; data modeler, quantitative analyst, statistician, quantitative economist, or data analyst with credit field

• 5+ years of deep technical experience with SAS programming

• Statistical modeling experience

• Experience within and strong understanding of credit/loan asset space

• Ability to present technical results to non-technical audiences

• Strong project management skills

• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve

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The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 102,529 – $139,000.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.