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Credit Risk Modeler - Beeline ID:7326-1
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Credit Risk Modeler ....
Apptad Inc
drjobs Credit Risk Modeler - Beeline ID:7326-1 العربية

Credit Risk Modeler - Beeline ID:7326-1

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1 Vacancy
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Job Location

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others - USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 1734374
Job Title: Credit Risk Modeler
Job Location: Richardson, Texas(Remote)
Job Duration: Long-Term
Job Description:
  • Work hands-on for critical risk modeling projects as well support team's project deliverables with statistical and domain expertise
  • Works hands-on in development, re-development and calibration of risk and regulatory models, including but not limited to Credit Decision Scorecards, Basel IRB PD, LGD, EAD, Stress Testing, IFRS 9/CECL models
  • Develop presentations to be shared with senior client management
  • Data and quantitative analysis to support modeling decisions
  • Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity and stability
  • Detailing model techniques and interpretation of variables used in the models to be documented and presented to client Stakeholders
  • Validation for the source data quality, forecast data quality as well as change management
  • Helping develop thorough technical documents for distribution and presentation to senior management, model developers, auditors and regulators
  • Bringing in industry best practices and consultative inputs to help deliver continuous value to client engagements in advanced risk analytics
Required Skills :
  • 5+ years' experience in BFS analytics, with 3+ years' experience in credit risk modeling
  • Excellent knowledge of various statistical techniques and core hands-on experience in statistical modeling (Logistic Regression, GAM, Time series, Survival Techniques Competing Hazard, COX proportional hazard, Clustering, CHAID/Classification trees Etc.)
  • Good client management and communication/presentation skills written & verbal
  • Master's degree in quant discipline - Statistics/Economics/Finance/Mathematics
  • Ambitious, proactive, "can-do" attitude. Ability to work under ambiguity and with minimal direct supervision.
  • Expertise in SAS, SQL, Python
  • Hands-on experience in Machine Learning (Boosting, Bagging techniques) modeling is a plus
  • Experience in visualization technologies Tableau, Spotfire, MATLAB and SPSS is a plus
  • Ability to work independently on complex core modeling projects
  • Experience in credit risk/regulatory model development CECL, IFRS 9, Stress Testing, AIRB
  • Consultative mindset and experience in client interfacing with strong interpersonal skills
  • Project management experience
  • Must be articulate and confident to manage senior stakeholder conversations

Employment Type

Full Time

About Company

100 employees
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