Job
Description
The Risk Analytics, Modeling and Validation role involves the development, enhancement, and validation of methods for measuring and analyzing all types of risks, including market, credit, and operational. You will be responsible for developing, enhancing, and validating models for measuring obligor credit risk, early warning tools for monitoring credit risk of corporate or consumer customers, and conducting Loss Given Default studies. Additionally, you will develop and maintain key risk parameters such as default and rating migration data, usage given default data, and transition matrices. Your role is vital to the company as it provides a scientific and systematic approach to assessing and mitigating risks, ensuring the company's financial stability, protecting its assets, and supporting its overall business strategy. As a Model Validator, your responsibilities will include performing model validations, annual model reviews, ongoing monitoring reviews, and model limitation remediation reviews for one or more model/product types under the supervision of a Validation Lead. You will provide effective challenge to the model development process, evaluate testing approaches and results, assess ongoing performance monitoring of models, and contribute to regulatory and internal audit related responses. Collaboration with other teams within Risk and the Business will be essential to facilitate compliance with policies, procedures, and guidance. You are expected to be an enthusiastic and early adopter of change, demonstrating curiosity in seeking new ways to overcome challenges and actively applying learning from failures. You will be responsible for challenging yourself and others to communicate alternative views, acting as a change catalyst by identifying where new ideas could benefit the organization, and proactively seeking to understand and act in alignment with organizational decisions. Prioritizing highest-priority work aligned to business goals, streamlining work processes, and taking personal accountability for managing potential risks are also key aspects of this role. The ideal candidate for this role will have 5-8 years of experience in Quantitative Finance, Risk management, Analytics, Model Development, or Model Validation. Strong partnership and teamwork skills, along with the ability to formulate findings clearly and concisely, are essential. Good analytical, creative thinking, and problem-solving abilities are required, as well as proficiency in programming languages like Python, MATLAB, C/C++/C#, VBA, or other coding languages as needed. Knowledge of financial markets and products, qualitative or quantitative model risk management experience, and extensive experience in data analysis and interpretation are preferred qualifications. A Master's degree in a relevant field is required for this position. Strong technical skills in time series analysis, statistics, and econometrics, along with excellent communication, diplomacy, and problem-solving skills, are necessary. The ability to work effectively in a team and independently, manage multiple tasks and deadlines, and identify inconsistencies in data or results to define business issues are also crucial for success in this role. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,
