Job
                                Description
                            
                            
                                
 
 Management Level:07- I&F Decision Sci Practitioner Manager 
 Location:Mumbai 
 Must-have skills:Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions 
 
Good to have skills:Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms 
 Job 
 
Summary 
We are seeking a highly skilled   I&F Decision Sci Practitioner Manager to join the  
 Accenture Strategy & Consulting team in the  
 Global Network Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. 
 
Roles & Responsibilities: 
 Engagement Execution
Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients.Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members.Develop and frame Proof of Concept for key clients where applicable.
 Practice Enablement
Mentor, guide, and counsel analysts and consultants.Support the development of the practice by driving innovations and initiatives.Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. 
 
Professional & Technical  
 
Skills:
 
 7-12 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 Models 
 Liquidity Risk:Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards 
 Anti-Money Laundering (AML):AML Scenarios/Alerts, Network Analysis 
 Operational Risk:AMA Modeling, Operational Risk Reporting 
 Modeling Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms 
 Programming 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:
 
 Masters 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 | Accenture Qualification   Experience:Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory 
 
Educational Qualification:Masters 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 preferred