Management Level: Ind & Func AI Decision Science ConsultantLocation: Gurgaon, Mumbai, BangaloreMust-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages: SAS, R, Python, Spark, Scala, Tools: Tableau, PowerBI, Regulatory Knowledge: Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard SolutionsGood to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias AlgorithmsJob SummaryWe are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network - Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation.Roles & Responsibilities:Engagement ExecutionWork independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for Accenture's clients.Ability to manage workstreams of small projects, overseeing the quality of deliverables for junior team members.Demonstrated ability to manage day-to-day interactions with client stakeholders.Practice EnablementGuide junior team members.Support development of the practice by driving innovations and initiatives.Develop thought leadership and disseminate information around current and emerging trends in Risk.Professional & Technical Skills:2-6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to:Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios.Credit Acquisition/Behavior: Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios.Regulatory Capital and Economic Capital ModelsLiquidity Risk: Liquidity Models, Stress Testing Models, Basel Liquidity Reporting StandardsAnti-Money Laundering (AML): AML Scenarios/Alerts, Network AnalysisOperational Risk: AMA Modeling, Operational Risk ReportingModeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias AlgorithmsProgramming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VAStrong understanding of Risk functions and their application in client discussions and project implementation.Additional Information:Master's degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities.Industry Certifications: FRM, PRM, CFA preferred.Excellent Communication and Interpersonal Skills.About Our Company | AccentureExperience: Minimum 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk AdvisoryEducational Qualification: Master's degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferredAbout AccentureWe work with one shared purpose: to deliver on the promise of technology and human ingenuity. 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