Skill set required : Credit risk model development experience using any tool (SAS, Python, R )
Location : Kolkata/ Bangalore
Projects and analysis:
- Key to re-development and monitoring of credit risk regulatory models like PD, EAD and LGD models and help to create consistent data / processes.
- Enhanced data processes to allow more efficient model validation and development for SME and Wholesale data marts
- Develop, test and write highly complex application programs, queries and profiles aligned to business goals
- Identification of data sources and obtain appropriate access
- Formal model development documentation for sign off
- Help identifying areas which require data remediation and proactively engage with internal stakeholder to address them.
- Support and lead the preparation of data for model build, enhancement and deployment of SME and credit risk models, as directed.
- Assist the development team in the preparation of portfolio analysis and impact analysis
Customers / Stakeholders :
- Regional and Group Risk functions, coupled with finance/business as required
- Builds and maintains effective working relationships with IT & System owners, as well as quantitative analysts within Risk Analytics.
- Will be the escalation point for complex data issues requiring resolution
- Liaise with GAC and Global Risk Analytics members as well as with business and risk stakeholders to share and acquire data and analytics expertise.
- Work closely with modeling team in India engaged on this project and Support communication with Change Delivery and IT functions across the board.
Leadership & Teamwork:
- Manage projects and ensure deadline are met.
- Liaise with regional risk model owners, Finance, Risk Systems and IT
- Motivates junior team members, help them deliver on business expectations where applicable as well as overseeing progress
- Work collaboratively across a range of teams fostering positive working behaviours
- Identify opportunities for process, data and system improvements to support development of robust and business-relevant risk metrics.
Experience
- Around 3-10 years of professional experience in financial services & Regulatory risk model development ( PD, EAD, LGD)
- Candidates with entire model development experience preferably with model documentation and review.
- Understanding of regulatory implications and relevance, preferably worked in a bank
- Understanding of commercial banking and related products
Skills:
- Highly focused on project delivery, attention to detail
- Highly comfortable with solving unstructured business and technical problems
- Excellent written english and verbal communication skills
- Hands-on statistical knowledge with scorecard /econometric model development capability
- Strong collaborative, influencing and team building skills
- Strong analytical and problem solving skills, open minded, flexible, pragmatic
- Strong documentation and summarizing skills for senior audiences
- Strong programming skills in SAS and experience of working with large volume of data
- Able to progress multiple tasks at the same time
- Enthusiastic, displaying energy, drive and stamina
- Willing to work with colleagues in other areas/timezones where appropriate
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