2 Regulatory Models Jobs

You will be joining EXL, a leading operations management and analytics company dedicated to helping businesses thrive in competitive and disruptive environments. Through our innovative methodologies encompassing advanced analytics, data management, digital solutions, BPO, consulting, industry best practices, and cutting-edge technology platforms, we delve deep to support companies in enhancing global operations, fostering data-driven insights, improving customer satisfaction, and effectively managing risk and compliance. EXL caters to various industries such as insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics, with a team of over 30,000 professionals located across the United States, Europe, Asia (mainly India and the Philippines), Latin America, Australia, and South Africa. In the realm of EXL Analytics, we provide actionable solutions to business challenges through statistical data mining, advanced analytics techniques, and a consultative approach. By utilizing our proprietary methodology and top-tier technology, EXL Analytics adopts an industry-specific strategy to revolutionize clients" decision-making processes and embed analytics deeply into their business operations. Our team of nearly 2,000 data scientists and analysts worldwide support client organizations in diverse areas such as risk minimization, advanced marketing strategies, pricing and CRM techniques, internal cost analysis, and optimizing resources within the organization. EXL Analytics caters to industries like insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics. Your role will involve being a proficient credit risk model professional with expertise in model monitoring, validation, implementation, and maintenance of regulatory models. Some of your key responsibilities will include assisting in various aspects of model risk management in alignment with regulations, conducting essential tests such as model performance evaluations, sensitivity analyses, and back-testing, collaborating with the model governance team on model development and monitoring, liaising with cross-functional teams including business stakeholders, model validation, and governance teams, delivering high-quality client services encompassing model documentation within stipulated timeframes. To excel in this role, you should have a minimum of 2+ years of experience in executing end-to-end monitoring, validation, production, and implementation of credit risk models, particularly CCAR/CECL/IFRS9 regulatory models. You should possess a strong comprehension of credit risk regulatory models, along with expertise in marketing and general analytics problems. Your ability to manage assigned projects efficiently, ensuring accuracy and timely deliverables, as well as training, coaching, and developing team members, will be crucial for success. For qualifications, you should have prior analytics experience (2+ years), preferably in the BFSI sector, with a good understanding of General Analytics and Fraud Analytics. Past experience in roles involving problem-solving and strategic initiatives is advantageous. Proficiency in SAS/SAS macros, Python, or SQL is essential, while hands-on experience in R or any other analytical software would be a plus. Strong problem-solving skills will further enhance your suitability for this role.,

This position requires a seasoned professional as a Senior Manager with specialized knowledge of credit risk management. You will be overseeing the development, enhancement, and validation of credit risk models, ensuring compliance with regulatory standards, and driving innovation in risk management practices. The ideal candidate should have hands-on experience in Credit Risk Model Validation or Development with SAS and Python. You should also possess good hands-on experience in Regulatory Models such as AIRB, CECL, CCAR, Basel, IFRS9. You will primarily work as a consultant for the centralized advanced analytics team of a banking or financial firm focusing on Credit Risk Model Development/Validation and Researcher Specialist. Your responsibilities will include interacting with various business units including risk, finance, controllership stakeholders, and coordinating with auditors and model development or validation teams to ensure adherence to Enterprise Modeling Governance standards. Your activities will involve providing thought leadership, developing and executing modeling strategies, designing, developing, and validating predictive models, conducting testing and validation methodologies, providing analytical support for risk mitigation, assessing data quality, leading and mentoring junior team members, proposing monitoring system improvements, conducting in-depth research on credit risk modeling policies, and contributing to white-paper creation. Minimum Qualifications: - Experience in developing, validating models and risk management of credit risk models. - Knowledge of various statistical techniques and proven skill in regulatory and non-regulatory credit risk modeling. - Understanding and experience with regulatory risk model development/validation guidelines such as SR 11-7, Basel IRB, CCAR, CECL, IFRS9, etc. - End-to-end development or independent validation of credit risk and regulatory models (PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML, counter fraud models, etc.). - Expertise in developing statistical/mathematical and machine learning based models, working with large data sets using SQL, ETL, SAS, Python, R. - Master's degree in a quantitative discipline (Statistics/Economics/Finance/Data Science, etc.). - Strong client management, communication, presentation skills. - Self-driven, proactive, with a "can-do" attitude, able to work under ambiguity and minimal supervision. - Strong project management experience, ability to communicate and coordinate across multiple business units. - Lead projects, provide thought leadership, technical guidance, training, and oversight. Preferred Qualifications: - Strong networking, negotiation, influencing skills. - Knowledge of credit risk management for retail and wholesale lending products. - Hands-on experience in Machine Learning modeling techniques. - Prior Project Management and People Management expertise. Required Skills And Certifications: - Model Validation. - SAS. - Python. - Regulatory Model. - Model Development. - Credit Risk.,