Decision Sciences (Bangalore)- AVP
Job Description :
Knowledge & Experience / Qualifications :
- Masters / Graduation in any numeric discipline
- Statistics / Economics
- Engineering (or B-tech with relevance experience)
- Around 9+ years of professional experience in financial services in Analytics for BFSI domain into data management and analysis. Knowledge of at least one of retail credit or wholesale credit.
- Relevant working experience in a bank, rating agency, consultancy or advisory firm (7+ years)
- Data Warehousing experience, including proficiency in manipulation of large data sets and excellent understanding of credit risk related data
- Strong data analytics background
Required Skills :
- Open personality with effective communication skills
- Strong data manipulation and analysis skills (e.g. SAS/SQL, R, Oracle, Python)
- Should be adept in using MS Office with exceptional MS Excel Skills. Exposure to VBA will be advantageous.
- Experience and Exposure to visualization technologies such as Qlikview/ Spotfire/ Tableau
- Excellent communication skills, both verbal and written, and the ability to maintain a close working relationship with related parties in an international environment
- Manages self to deliver own work within timelines
- Ability to organize presentations, pieces of training, workshops
Principal Accountabilities: Key activities and decision-making areas :
Impact on the Business/Function :
- Key to re-development and monitoring of (AIRB) credit risk models
- Globally consistent processes
- Enhanced data processes to allow more efficient model validation and development
- Lead the identification of data sources and obtain appropriate access
- Formal documentation of data sources and any processing for sign off
- Help to identify areas which require data remediation and proactively engage with internal stakeholder to address them. Any errors may impact regulatory model development or reporting which may result in RWA or damage to our reputation with regulators
- Support and lead the preparation of data for model build, enhancement and deployment of wholesale credit risk models, as directed, to allocated RWA, CRR,EAD, LGD or Economic Capital / provisioning measures and top support the business
- Assist the development team in the preparation of MI, portfolio analysis and impact analysis
Typical Targets and Measures :
- Data sourced for risk models
- Co-ordination with regions for consistency of approach and implementation
- Design and implementation completed within agreed timelines
- Positive feedback from team members and stakeholders
- Increased operational efficiency and reduced time required to source data for modelling & validation
- Assist on the development of new wholesale credit risk scorecards (Application, PD, LGD, EAD) for global portfolios
- Support deployment and maintenance of credit risk models on existing risk systems
Salary: Not Disclosed by Recruiter
Industry: Banking, Financial Services, Broking
Functional Area: Analytics & Business Intelligence
Role Category:Senior Management
Role:Head/VP/GM - Analytics & BI
Employment Type: Full Time, Permanent
UG: B.Sc - Maths, Statistics, B.A - Economics, Statistics, Maths, Any Graduate - Any Specialization, B.Tech/B.E. - Any Specialization
PG:M.A - Maths, Economics, Statistics, Any Postgraduate - Any Specialization, M.Tech - Any Specialization, MS/M.Sc(Science) - Statistics, Maths
Doctorate:Doctorate Not Required
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