3 Regulatory Modeling Jobs

At EY, you have the opportunity to shape a career that reflects your individuality, supported by a global network, inclusive environment, and cutting-edge technology to empower you to reach your full potential. Your distinct voice and perspective are crucial in enhancing EY's continuous improvement. Join us in creating an exceptional journey for yourself while contributing to a more prosperous working world for all individuals. EY's Risk Consulting division in MENA FS Risk is a specialized unit that offers a wide array of integrated services combining industry expertise with strong functional knowledge and product proficiency. The Financial Services Risk Management (FSRM) team within EY GDS Risk Consulting Practice is dedicated to delivering customized risk solutions to assist clients in identifying, evaluating, mitigating, and overseeing various financial and regulatory risks. These encompass market, credit, operational, and regulatory risks associated with trading, asset-liability management, capital management, and broader capital markets activities. The division seeks collaborative professionals with a strong ethical foundation and meticulous attention to detail. As part of the FSRM division, the Credit Risk (CR) team focuses on aiding clients, ranging from local banks to global financial institutions, in implementing strategic, operational, and regulatory changes within their banking book portfolios. You will collaborate in diverse, multi-disciplinary teams to ensure the delivery of high-quality services to clients. The role involves expanding knowledge and implementing innovative solutions to address the evolving needs of clients. A curious mindset and a dedication to fostering solutions across organizational boundaries are highly valued. Your responsibilities will include showcasing profound technical expertise and industry knowledge, specifically in financial products with an emphasis on lending solutions. You will design, evaluate, and compare financial risk management policies, frameworks, and methodologies covering various risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics. Monitoring project progress, managing risks, and effectively communicating with stakeholders are essential to ensure successful outcomes. Additionally, mentoring and guiding junior consultants, reviewing their work for accuracy and quality, and adapting to projects involving model audits, validation, and development are key aspects of the role. Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline such as Engineering, Mathematics, Statistics, Physics, or equivalent with a minimum of 3 years of relevant experience. - Proficient in statistics and econometrics. - Extensive knowledge of Credit risk model development, validation, audit, or implementation of banking book portfolio. - Advanced technical skills in Python, SAS, SQL, R, and Excel. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and multitasking abilities to deliver high-quality results under tight deadlines. Preferred: - Professional certifications like FRM, CFA, PRM, or SCR. - Familiarity with regulatory modeling (BASEL, CCAR, IFRS9). - Exposure to regulatory stress testing processes related to credit risk & ICAAP. - Knowledge of Interest Rate Risk in Banking Book (IRRBB). - Experience in data/business intelligence (BI) reporting. - Understanding of machine learning models and their practical applications. - Willingness to travel for client engagements. Working at EY provides you with the opportunity to contribute to building a better working world by leveraging the firm's expertise, products, and systems. EY fosters a culture that supports your growth through training, diverse opportunities, and creative freedom to drive positive change. You will engage in inspiring and meaningful projects, supported by education and coaching to enhance your personal development. EY values its employees and offers individual progression plans to empower you to take on challenging roles with stimulating assignments. Additionally, you will be part of a collaborative environment focused on knowledge exchange and high-quality work, with the following benefits: - Support, coaching, and feedback from engaging colleagues. - Opportunities for skill development and career advancement. - Freedom and flexibility to approach your role in a manner that suits you best. EY is committed to creating a better working world by delivering long-term value to clients, people, and society while fostering trust in the capital markets. With a global presence in over 150 countries, EY's diverse teams utilize data and technology to provide assurance and support clients in their growth, transformation, and operations across various sectors. Through services in assurance, consulting, law, strategy, tax, and transactions, EY teams tackle complex global issues by asking insightful questions to discover innovative solutions.,

Synopsis of the role Understand clients business requirements in terms of analytical needs and be a part of a High-class delivery team to deliver unparalleled analytical solutions using best in class analytical techniques. What Youll Do Be the innovation champion in the organization and help us build new solutions leveraging Equifax data assets Ability to understand BFSI business problems and consult client on the appropriate solutions Provide thought leadership to projects and help develop unique solutions and deliver analytical outputs Contribute to building the BFSI Analytics practice through on- going identification of new opportunities Provide hands-on support to the project team in developing ML models Work with the Equifax bureau in India to build bureau-based Analytics capabilities and use the new age technology to implement those solutions Develop best practices and streamline the process in order to improve the efficiency of the team Manage a team of junior data scientists and help with building products leveraging AI/ML techniques What Experience You Need Understanding of key business and risk KPIs for retail banking products 5+ years experience in handling BFSI analytics/implementing models/Big data/Cloud solution architect Credit risk modeling development experience is a must. R/Python coding experience is a must have technical skill Regulatory modeling development experience is good to have (ECL, Stress testing & IFRS9) Highly analytical with experience of working in teams. Self-starter with high energy levels and ability to work in a fast-paced environment. In-depth business & risk understanding. Adaptability to work in project-based engagements across different kinds of banking clients. Team management experience would be preferred What Could Set You Apart Young, enthusiastic and highly collaborative teammates. Learn from and work with some of brightest minds in the banking lending, credit risk and marketing analytics space - both in India & International Fabulous opportunity to work with some of our largest blue-chip customers Chance to use cutting-edge statistical/modelling tools across literally hundreds of data assets Offices located in the center of Bangalore & Mumbai Opportunity to make an impact in the fastest growing Data & Tech bureau Equifax D&A University: skill lab, group & individual learning Show more Show less

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team to provide a comprehensive view. As a Loss Forecasting Modeling Analytics Associate in the Consumer Credit Risk Management team, your primary responsibility will be to execute credit loss forecasting models. You will diagnose model accuracy and lead analyses to evaluate relationships and patterns that impact the loss performance of our product portfolio. Your role will involve spearheading the control framework within our function and executing processes through analytical insights, predictive analysis, and newer technology applications. This position presents an exciting opportunity for skill development in a fast-paced setting. The Loss Forecasting team within Consumer Credit Risk Management is tasked with providing reasonable forecasts of delinquencies, charge-offs, and recovery of charged-off assets throughout the year. These forecasts are essential for regulatory exercises such as CCAR, capacity planning, and budgeting in collaboration with P&A, collections, and recovery teams. Additionally, the team monitors the portfolio's health and communicates emerging trends to stakeholders and senior management. **Job Responsibilities:** - Execute credit loss forecasting models to predict credit losses and allowance for the product portfolio, supporting regulatory exercises like CCAR, CECL, firmwide Risk Appetite, and Budget. - Present the results and levers of loss forecasting to senior management and internal stakeholders. - Diagnose model parameters and collaborate with the modeling team to propose changes for accuracy at granular segments. - Engage in cross-functional communications with Risk Management, Finance, Marketing, and Collections to incorporate strategic initiatives into the forecast. - Conduct macro sensitivity analytics, loss, and allowance attribution, deep dives, and storyboarding. - Lead advanced analyses to evaluate relationships and patterns driving loss performance. **Required Qualifications, Capabilities, and Skills:** - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training. - Minimum of 4 years of banking analytics, product/revenue analytics, FP&A, and/or consulting experience for a senior Associate role. - Minimum of 2 years of banking analytics, product/revenue analytics, and/or consulting experience for an Associate role. - Proficiency in Microsoft Office suite of products (Advanced Excel, VBA, and PowerPoint). - Strong analytical and problem-solving skills with the ability to interpret large amounts of data and understand its operational and financial implications. - Well-organized and structured with excellent communication and presentation skills. **Additional Qualifications:** - Working knowledge of regulatory modeling (IFRS9/CECL/CCAR). - Credit risk experience in one or more US consumer credit portfolios. - Working knowledge of P&A, product analytics, statistical modeling, and model execution. - Actual work experience in Python/SAS/SQL/Alteryx/Cloud application architecture. In summary, this role offers a challenging yet rewarding opportunity to contribute to credit loss forecasting models and play a crucial role in the Consumer Credit Risk Management team.,