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Accenture
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S&C Global Network - AI - CFO & EV - Risk Analytics - Manager

S&C Global Network - AI - CFO & EV - Risk Analytics - Manager

Accenture

7 - 12 years

45 - 50 Lacs

Bengaluru

Posted:11 hours ago| Platform:

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Skills Required

python sas linear regression r logistic regression data validation statistical techniques scala neural networks performance evaluation glm microsoft azure power bi auditing qlikview tableau spark gcp model development xgboost aws risk analytics

Work Mode

Work from Office

Job Type

Full Time

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 VA

Strong 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 | AccentureQualificationExperience: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

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S&C Global Network - AI - CFO & EV - Risk Analytics - Manager