SandC Global Network - AI - CFO And EV - Risk Analytics - Manager

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.
  
  
  

• 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.
  
  
  

• 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 VA
• Strong understanding of Risk functions and their application in client discussions and project implementation.
  
  
  

• 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