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Senior Risk Analytics Consultant

Employer
First Citizens Bank Careers
Location
Selma, North Carolina, United States
Closing date
Mar 7, 2024

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Job Role
Risk Manager
Sector
Finance
Contract Type
Permanent
Hours
Full Time
Overview:
We are seeking a highly skilled senior model developer to join our Modeling and Analytics team at First Citizens. In this role, you will be responsible for the development, implementation, monitoring, and reporting of risk rating models specifically tailored for commercial loan portfolios.
Responsibilities:
  • Lead the development and enhancement of risk rating models for commercial loans, ensuring accuracy and compliance with regulatory standards.
  • Conduct thorough analyses of internal and external sources of financial and loan-level data to inform model development.
  • Maintain comprehensive documentation of model development processes, ensuring transparency and compliance with regulatory standards.
  • Facilitate the model validation process with the bank's Model Risk Management team.
  • Collaborate with IT teams to integrate developed models into the bank's systems and workflows.
  • Collaborate with cross-functional teams to gather input and insights for model improvement and determine appropriate model performance thresholds.
  • Monitor model performance and make recommendations for adjustments as necessary.
  • Produce comprehensive reports on model outcomes, providing valuable insights to stakeholders.
  • Stay abreast of industry best practices and regulatory changes to ensure models remain cutting-edge and compliant.
Qualifications:
  • Bachelor's Degree and 8 years of experience in Risk Management, Financial Analysis, or Statistical Modeling OR High School Diploma or GED and 12 years of experience in Risk Management, Financial Analysis, or Statistical Modeling
  • Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Economics, or related discipline.
  • Proven experience in developing risk rating models for commercial loans within the banking sector or similar industry.
  • Strong proficiency in statistical modeling techniques (e.g., logistic regression, linear regression, machine learning techniques) and programming languages (e.g., SAS, Python).
  • Proficiency in data mining and feature engineering techniques.
  • Excellent analytical and problem-solving skills with attention to detail.
  • Ability to communicate complex concepts effectively to both technical and non-technical stakeholders.
  • Proficiency with Microsoft Office products (Excel, PowerPoint, Word, etc.).

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