1,769 Pyspark Jobs

As a  Risk Modeling Data programming Associate within the CCB- Portfolio Risk Modeling team you are  expected to support critical statistical development projects and related analysis. You will have the chance to collaborate with modeling teams, comprehend model monitoring requirements, and construct feasible end-to-end solutions. The incumbent candidate will have the following roles and responsibilities. 

Job responsibilities

• Support end-to-end credit-risk model development efforts within Regulatory Modeling
• Migrating existing code base to the cloud.
• Developing, and building tools to support prototyping, evaluating, and deploying models
• Support model development efforts and liaison with different teams 
• Manage quality control within development projects, assuring accurate results.
• Assist in development and monitoring of Regulatory Models
• Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.
• Proactively communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.
• Inventing creative and innovative ways to answer key business questions by leveraging existing data assets

Required qualifications, capabilities, and skills

• Min 4 years of programming experience in any of the following languages SAS or Python.
• Experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata.
• Experience in BI development and reporting would be an added advantage.
• A degree in Computer Science, Engineering, or Information Technology.
• Experience in developing and implementation of solutions in a production environment.  
• Ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation, analysis, and summarization of large quantities of data.
• Well-developed oral and written communication skills. 
• Ability to make contributions to the groups knowledge base by proposing new and creative ways for approaching analytic problems and project design.

Preferred qualifications, capabilities, and skills
•   Formal training or certification in AWS

• Exposure to risk at a financial services institution would be an added advantage.
• Knowledge of big data environment (AWS) will be an added plus.