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 typically 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. The individual is required to provide effective challenge to the model development process, evaluate testing approaches and results, assess ongoing performance monitoring of the models, contribute to regulatory and internal audit related responses, collaborate with other teams within Risk and the Business, and assist with preparing reports and meeting materials for senior management. The ideal candidate for this role is expected to 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 formulate findings clearly and concisely in a written form, good verbal communication skills, strong analytic, creative thinking, and problem-solving abilities, adeptness at analysis and documentation of results, and the ability to work well under pressure and deliver results under tight deadlines. Programming skills in languages like Python, MATLAB, C/C++/C#, VBA, or other coding languages are required, along with knowledge of financial markets and products. Qualitative or quantitative model risk management experience is a plus. Additionally, the candidate should have extensive experience in data analysis and interpretation, technical writing skills, strong technical skills in time series analysis, statistics, and econometrics, as well as excellent communication, diplomacy, and problem-solving skills. The educational requirement for this role is a Master's degree. The candidate should also demonstrate proficiency in project management, the ability to manage multiple tasks and deadlines, proficiency in data analysis and interpretation, attention to detail, and the ability to make informed judgments based on information. Additionally, they should be able to identify inconsistencies in data or results, define business issues, formulate recommendations on policies, procedures, or practices, and have the ability to work effectively both in a team and independently. Key Skills: - Analytical Thinking - Business Acumen - Credible Challenge - Data Analysis - Governance - Policy and Procedure - Policy and Regulation - Risk Controls and Monitors - Risk Identification and Assessment - Statistics For further details on complementary skills, please refer to the job description or contact the recruiter for more information.,
