Key Responsibilities: • Creation, development and management of local team (hiring, training and coaching). • Define project lifecycle (scope, project plan, deadlines, effectiveness). • Supervise all the projects with the help of mid-senior project member and manage projects with high complexity directly. • Collaborate with sales and consulting team in the presales activities as and when needed. • Design, develop and implement the desired methodologies in alignment with Client approach and standards. • Ensure to adopt new age techniques (random forest, SVM, Neural Network etc.) accurately. Research constantly about new algo. relevant to a particular business problem. • Collaborate with other Client WW analytics competence centers (Europe, USA). • Participates in knowledge sharing sessions to promote best practices within the Crif Group • Moderate travel may be required. Required skills/knowledge: • 8-10 years of experience in credit risk modelling.• Must have handled team/people and projects.• Good knowledge of Python/PySpark/R.• Good knowledge of Banking and Insurance products.• Experience in PD, LGD, EAD modeling is a plus.• Must be a team player• Proven ability to establish trust with internal and external customers.• Must have ability to build consensus across diverse teams - Sales, Analytics, Consulting, Software etc.• Fluent in English - written and verbal.• Masters in Statistics/Maths/Economics/OR, or Engineering from leading institutions
Key Responsibilities: • Creation, development and management of local team (hiring, training and coaching). • Define project lifecycle (scope, project plan, deadlines, effectiveness). • Supervise all the projects with the help of mid-senior project member and manage projects with high complexity directly. • Collaborate with sales and consulting team in the presales activities as and when needed. • Design, develop and implement the desired methodologies in alignment with Client approach and standards. • Ensure to adopt new age techniques (random forest, SVM, Neural Network etc.) accurately. Research constantly about new algo. relevant to a particular business problem. • Collaborate with other Client WW analytics competence centers (Europe, USA). • Participates in knowledge sharing sessions to promote best practices within the Crif Group • Moderate travel may be required. Required skills/knowledge: • 8-10 years of experience in credit risk modelling.• Must have handled team/people and projects.• Good knowledge of Python/PySpark/R.• Good knowledge of Banking and Insurance products.• Experience in PD, LGD, EAD modeling is a plus.• Must be a team player• Proven ability to establish trust with internal and external customers.• Must have ability to build consensus across diverse teams - Sales, Analytics, Consulting, Software etc.• Fluent in English - written and verbal.• Masters in Statistics/Maths/Economics/OR, or Engineering from leading institutions
Position – Associate Vice President (Global Analytics) Location: Pune Key Responsibilities: • Creation, development and management of local team (hiring, training and coaching). • Define project lifecycle (scope, project plan, deadlines, effectiveness) • Supervise all the projects with the help of mid-senior project member and manage projects with high complexity directly. • Collaborate with sales and consulting team in the presales activities as and when needed. • Design, develop and implement the desired methodologies in alignment with Client approach and standards. • Ensure to adopt new age techniques (random forest, SVM, Neural Network etc.) accurately. Research constantly about new algo. relevant to a particular business problem. • Collaborate with other Client WW analytics competence centers (Europe, USA). • Participates in knowledge sharing sessions to promote best practices within the Client Group • Moderate travel may be required. Required skills/knowledge: • 10-14 years of experience in credit risk modelling.• Must have handled team/people and projects.• Good knowledge of Python/PySpark/R.• Good knowledge of Banking and Insurance products.• Experience in PD, LGD, EAD modeling is a plus.• Must be a team player• Proven ability to establish trust with internal and external customers.• Must have ability to build consensus across diverse teams - Sales, Analytics, Consulting, Software etc.• Fluent in English - written and verbal.• Masters in Statistics/Maths/Economics/OR, or Engineering from leading institutions
Position – Associate Vice President (Global Analytics) Location: Pune Key Responsibilities: • Creation, development and management of local team (hiring, training and coaching). • Define project lifecycle (scope, project plan, deadlines, effectiveness) • Supervise all the projects with the help of mid-senior project member and manage projects with high complexity directly. • Collaborate with sales and consulting team in the presales activities as and when needed. • Design, develop and implement the desired methodologies in alignment with Client approach and standards. • Ensure to adopt new age techniques (random forest, SVM, Neural Network etc.) accurately. Research constantly about new algo. relevant to a particular business problem. • Collaborate with other Client WW analytics competence centers (Europe, USA). • Participates in knowledge sharing sessions to promote best practices within the Client Group • Moderate travel may be required. Required skills/knowledge: • 10-14 years of experience in credit risk modelling.• Must have handled team/people and projects.• Good knowledge of Python/PySpark/R.• Good knowledge of Banking and Insurance products.• Experience in PD, LGD, EAD modeling is a plus.• Must be a team player• Proven ability to establish trust with internal and external customers.• Must have ability to build consensus across diverse teams - Sales, Analytics, Consulting, Software etc.• Fluent in English - written and verbal.• Masters in Statistics/Maths/Economics/OR, or Engineering from leading institutions
Position – Associate Vice President (Global Analytics) Location: Pune Key Responsibilities: • Creation, development and management of local team (hiring, training and coaching). • Define project lifecycle (scope, project plan, deadlines, effectiveness) • Supervise all the projects with the help of mid-senior project member and manage projects with high complexity directly. • Collaborate with sales and consulting team in the presales activities as and when needed. • Design, develop and implement the desired methodologies in alignment with Client approach and standards. • Ensure to adopt new age techniques (random forest, SVM, Neural Network etc.) accurately. Research constantly about new algo. relevant to a particular business problem. • Collaborate with other Client WW analytics competence centers (Europe, USA). • Participates in knowledge sharing sessions to promote best practices within the Client Group • Moderate travel may be required. Required skills/knowledge: • 10-14 years of experience in credit risk modelling.• Must have handled team/people and projects.• Good knowledge of Python/PySpark/R.• Good knowledge of Banking and Insurance products.• Experience in PD, LGD, EAD modeling is a plus.• Must be a team player• Proven ability to establish trust with internal and external customers.• Must have ability to build consensus across diverse teams - Sales, Analytics, Consulting, Software etc.• Fluent in English - written and verbal.• Masters in Statistics/Maths/Economics/OR, or Engineering from leading institutions
Position – Associate Vice President (Global Analytics) Location: Pune Key Responsibilities: • Creation, development and management of local team (hiring, training and coaching). • Define project lifecycle (scope, project plan, deadlines, effectiveness) • Supervise all the projects with the help of mid-senior project member and manage projects with high complexity directly. • Collaborate with sales and consulting team in the presales activities as and when needed. • Design, develop and implement the desired methodologies in alignment with Client approach and standards. • Ensure to adopt new age techniques (random forest, SVM, Neural Network etc.) accurately. Research constantly about new algo. relevant to a particular business problem. • Collaborate with other Client WW analytics competence centers (Europe, USA). • Participates in knowledge sharing sessions to promote best practices within the Client Group • Moderate travel may be required. Required skills/knowledge: • 10-14 years of experience in credit risk modelling.• Must have handled team/people and projects.• Good knowledge of Python/PySpark/R.• Good knowledge of Banking and Insurance products.• Experience in PD, LGD, EAD modeling is a plus.• Must be a team player• Proven ability to establish trust with internal and external customers.• Must have ability to build consensus across diverse teams - Sales, Analytics, Consulting, Software etc.• Fluent in English - written and verbal.• Masters in Statistics/Maths/Economics/OR, or Engineering from leading institutions
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