Snr Manager, Development- Models & Predictive Analytics, Finance

KEY RESPONSIBILITIES

•   Requirements gathering, Architecture Design, Documentation

•   Solution Development and delivery of solution components

•   Perform Technical Review of key framework components.

•   Engage in performance testing and provide recommendations on tuning and optimization.

•   Share knowledge and best practices with Teams in technology and business.

•   Design and develop common service and framework.

•   Strictly adhere to Bank's SDF Framework and governance

•   Contribute to Solution Architecture updates. Intent documentation, DR Testing, Security review etc

•   Should ensure control and governance on data covering security, quality and provide recommendations.

SKILLS AND EXPERIENCE

•   A minimum of 12 years of experience in financial domain, as an architect or lead developer with exposure to Risk and / or Finance project and appreciation of general banking products. An ideal candidate should have architecture background with execution background.

Should possess good understanding of API, microservices architecture.

•   Good experience in Python, Pandas, Polars, Flask , Spark Developer: Spark, Hadoop, Iceberg

Reporting: Superset

•   Ability to understand complex architecture landscape, provide solutions and articulate them effectively in both written and verbal to stakeholders such as Enterprise Architects, Business and Technology teams.

•   Should have strong knowledge and experience in data warehousing, and data pipelines with exposure to Python, Spark, Bigdata Hadoop, HDFS, Hive, Data Security, Data as a Service and ability to, Develop Data API's.

•   Knowledge on principles of Data Mesh would be added advantage.

•   Solid understanding of the development process pipeline, effective code version control & continuous Integration, Deployment.

•   Working knowledge in various database and storage technologies such as Postgres, S3, SQL server, Oracle, Hadoop Hive, HDFS, Parquet.

•   Good knowledgeexposure to public cloud services on Azure/AWS and DevSecops tools/process

 QUALIFICATIONS

• Certification in Cloud competencies, Devops and Data Engineering
• Relevant degree in Technology