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Job Summary 2 - 6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services or Risk Advisory with significant exposure to one or more of the following areas:andlt;br or andgt; andlt;br or andgt; 1. Development validation and audit in any of the below areas:andlt;br or andgt; • Credit Risk- PD or LGD or EAD Models CCAR or DFAST Loss Forecasting and Revenue Forecasting Models IFRS9 or CECL Loss Forecasting Models across Retail and Commercial portfolios andlt;br or andgt; • Credit Acquisition or Behavior or Collections or Recovery Modeling and Strategies Credit Policies Limit Management Acquisition Frauds Collections Agent Matching or Channel Allocations across Retail and Commercial portfoliosandlt;br or andgt; • Regulatory Capital and Economic Capital Modelsandlt;br or andgt; • Liquidity Risk – Liquidity models stress testing models Basel Liquidity reporting standardsandlt;br or andgt; • Anti Money Laundering – AML scenarios or alerts Network Analysis andlt;br or andgt; • Operational risk – AMA modeling operational risk reportingandlt;br or andgt; 2. Conceptual understanding of Basel or CCAR or DFAST or CECL or IFRS9 and other risk regulationsandlt;br or andgt; 3. Experience in conceptualizing and creating risk reporting and dashboarding solutions andlt;br or andgt; 4. Experience in modeling with statistical techniques such as – linear regression logistic regression GLM GBM XGBoost CatBoost Neural Networks Time series – ARMA or ARIMA NLP NLG Algorithms ML interpretability and bias algorithms etc.andlt;br or andgt; 5. Programing Languages – good to have either SAS R Python etc. Viz Tools such as Tableau Qlikview PowerBI SAS VA etc.andlt;br or andgt; 6. Strong understanding of Risk function and ability to apply them in client discussions and project implementationandlt;br or andgt; andlt;br or andgt; Key Responsibilities:andlt;br or andgt; Engagement Execution andlt;br or andgt; 1. Work independently or 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. andlt;br or andgt; 2. Ability to manage workstream of large projects or small projects with responsibilities of managing quality of deliverables for junior team membersandlt;br or andgt; 3. Demonstrated ability of managing day to day interactions with the Client stakeholdersandlt;br or andgt; andlt;br or andgt; • Practice Enablementandlt;br or andgt; • Guide junior team members.andlt;br or andgt; • Support development of the Practice by driving innovations initiatives.andlt;br or andgt; • Develop thought capital and disseminate information around current and emerging trends in Risk andlt;br or andgt; • Travel: Willingness to travel up to 40% of the time
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Academic Background 1. Master’s degree in a quantitative discipline mathematics statistics economics financial engineering operations research or related field or MBA from top-tier universities .preferable.2. Strong academic credentials and publications if applicable. 3. Industry certifications such as FRM PRM CFA preferred4. Excellent communication and interpersonal skills5. Exposure to working in globally distributed workforce environment

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