Credit Risk Model Development Role - Investment Bank

Please find below the JD.

The role holder is expected to perform on the following aspects:

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.

Qualifications

Masters / Ph.D in any numeric discipline :-

- Statistics / Economics

- Engineering (or B-tech with relevance experience)

- Maths

Experience:-

- Around 5-7 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