AVP - Decision Sciences

Some Careers Have More Impact Than Others.

In This Role, You Will

• Lead the model development projects and coordinate with stakeholders as well.
• Functionally drive the development methodologies and design the validation framework
• Engage with credit and businesses to manage model risk.
• Attention to time schedule and resource planning, participate to panel meetings and discussion with business experts, write good quality and comprehensive documentation.
• 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
• 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 Subject Matter Expert and credit risk models, as directed.
  

To Be Successful, You Will

• Around 6-10 years of professional experience in financial services & risk scorecard models development experience or regulatory risk model development.
• Understanding of regulatory implications and relevance, preferably worked in a bank
• Understanding of commercial banking and related products
• Knowledge of data-engineering and industry coding standards would be a plus
• Hands-on statistical knowledge with scorecard /econometric model development capability
• Strong programming skills in Python with ability to work on large datasets is a must
• Proficiency in PySpark and Pydash is desired
• Strong knowledge of wholesale credit business and wholesale credit products as well as Basel framework
  

You’ll achieve more at HSBC

• Issued By HSBC Electronic Data Processing (India) Private LTD***