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. In areas related to credit risk, individuals in this role develop, enhance, and validate models for measuring obligor credit risk, or early warning tools that monitor the credit risk of corporate or consumer customers, besides being involved in Loss Given Default studies. They also develop and maintain key risk parameters like default and rating migration data, usage given default data and transition matrices. This role is vital to the company as it provides a scientific and systematic approach to assessing and mitigating risks, thereby ensuring the company's financial stability, protecting its assets, and supporting its overall business strategy. The responsibilities of the role include performing model validations, annual model reviews, ongoing monitoring reviews, and model limitation remediation reviews for specific model types under the supervision of a Validation Lead. The individual is required to provide effective challenge to the model development process, evaluate testing approach and results, assess ongoing performance monitoring of models, contribute to regulatory and internal audit responses, collaborate with other teams within Risk and the Business, assist with preparing reports and meeting materials for senior management, and support the process of designing, developing, delivering, and maintaining best-in-class qualitative model validation process standards. The ideal candidate for this role should have 5-8 years of experience in Quantitative Finance, Risk management, Analytics, Model Development, or Model Validation. They should possess excellent partnership and teamwork skills, the ability to communicate findings clearly and concisely, good analytic and problem-solving abilities, adeptness at analysis and documentation, programming skills in languages like Python, MATLAB, C/C++/C#, VBA or other coding languages, knowledge of financial markets and products, and experience in data analysis, interpretation, and technical writing. Strong technical skills in time series analysis, statistics, and econometrics, along with proficiency in data analysis and interpretation are also important qualifications for this role. Education requirement for this role is a Master's degree. The candidate should also demonstrate strong analytical, communication, diplomacy, influencing, and problem-solving skills, as well as the ability to work effectively in a team and independently. Proficiency in project management, attention to detail, and the ability to make informed judgments based on information are additional important qualifications. The individual should also have the ability to formulate recommendations on policies, procedures, or practices, and identify inconsistencies in data or results to define business issues effectively. If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, review Accessibility at Citi. The EEO Policy Statement and Know Your Rights poster are available for review.,
