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For your reference, we have included the original job posting below.
Quantitative Credit Risk Consultant
Job Number:
44161842
Company Name:
Confidential Company
Job Location:
New York, NY Us
Job Category:
Accounting & Finance
Salary:
$100K+
Quantitative Credit Risk Consultant
Deloitte & Touche LLP's ("Deloitte & Touche's") Audit and Enterprise Risk Services (AERS) business has a risk-based approach, experienced professionals, comprehensive methodologies, and technical resources. Deloitte & Touche's services combine competency and experience in the areas of financial reporting, risk management, and compliance.
The Business Risk ("BR") service area is composed of professionals that possess competency and experience in the areas of risk management, business and operational processes, internal auditing, financial reporting and other internal controls, and regulatory compliance. Business risk professionals use these skills to assess, analyze and improve the effectiveness and efficiency of governance, financial and operational control processes, offer recommendations to improve operations, and assist clients with enterprise risk and compliance activities.
Governance, Regulatory & Risk Strategies (GR&R) services help organizations and the boards of organizations manage business risks on a sustained basis. We assist our clients in assessing their enterprise-wide risks and help them develop a sustainable compliance and risk management program by coordinating the utilization of people, process, and technology to improve effectiveness and manage costs.
The services/solutions we provide include the following:
Governance Services
Enterprise Risk Management Services
Regulatory & Compliance Services
We are looking for a Senior Consultant to be based out of our New York – World Financial Center, office with the following skills.
Strong background in statistics is a prerequisite (e.g., applied statistics, econometrics, operations research, or physics), preferably at Master's level and with 2+ years of relevant job experience in the industry (although strong undergraduate qualifications with relevant professional experience may be considered)
Strong programming experience including Visual Basic in the Excel/Access object model and statistical languages (i.e., SAS)
Comprehensive business and technical knowledge of credit risk management methodologies and techniques (as appropriate for a commercial and retail credit focus)
Experience using mathematical modeling to solve business problems in forecasting loan performance, particularly for consumer financial products such as mortgages, credit cards, and auto loans
Credit risk evaluation, including qualitative and quantitative approaches, as well as modeling, analytics, and forecasting
Regulatory compliance and statutory requirements
Collection and call center procedures
Leading practices in credit processes, policies, reporting, etc.
Credit systems and enabling technologies to facilitate efficient execution of the areas above
Understanding of capital markets activities and applications
Strong knowledge of Microsoft Office suite including Word, Power Point, Excel, and Project is required
Excellent oral and written communication skills are critical
