Citibank is looking to ensure compliance with fair lending regulations and support the bank's risk management framework by developing, validating, and overseeing advanced quantitative models.
Requirements
- Proficiency in advanced modeling techniques, including time-series forecasting, supervised and unsupervised learning methods
- Experience with Python, SAS, and R for statistical analysis and modeling
- Hands-on experience with AI/ML and NLP models, large-scale data lakes, SQL, and Big Data technologies
- Proven ability to develop Machine Learning scoring models and perform data preparation and validation
- Strong analytical skills with the ability to interpret complex data and present findings effectively using visualization tools such as Matplotlib, Seaborn, and Pyplot
- Experience in conducting data-driven analysis for regulatory compliance and risk assessment
Responsibilities
- Develop and implement processes to evaluate and test input data used in models for compliance with fair lending regulations
- Evaluate Tier 2 and Tier 3 models, including AI/ML and NLP models, ensuring adherence to regulatory standards
- Periodically re-validate models and processes to maintain accuracy, efficiency, and compliance, identifying opportunities for enhancement
- Research new regulatory rules and implement policies or controls to align with algorithm review requirements from a fairness perspective
- Assist with regulatory inquiries and examinations, coordinating with regulators and internal teams as needed
- Review internal policies, procedures, and processes to prevent violations of applicable laws and regulations
- Design and maintain a risk management framework that aligns with Citi’s risk appetite and regulatory expectations
Other
- Minimum of three (3) years of experience in developing, validating, and testing quantitative models within the financial services industry
- Excellent communication skills to articulate technical concepts to non-technical stakeholders
- Collaborate with legal, compliance, business units, and control functions to address and resolve compliance issues related to model review
- Partner with ICRM teams to develop and apply program solutions that meet business, product, and customer needs
- Engage in cross-functional collaboration to ensure compliance and effective risk mitigation strategies
