SAS Data engineer

Define key responsibilities to reflect the duties and responsibilities of this role.

• The role requires strategic thinking and planning and provide expertise throughout the entire product development life cycle with a strong sense of quality ownership making sure that quality is baked in from the start.
• The individual will also take responsibility for ensuring all development tasks meet quality criteria through proper planning and designing, quality assurance and issue tracking.
• Accountable for mitigating business risks through timely, precise execution and validation of infrastructural changes.
• The individual must work closely with development and Infra teams to create plans for enhancements and application fixes.
• Work under minimal supervision to carry out procedures and execute agreed changes to ensure that the application meeting project engagement and requirements. The design must comply with standards.
• Oversee the delivery and maintenance of automated scenarios and frameworks based on industry best practices.

Responsibilities:

• Assist in managing and coordinating project deliverables and activities.
• Manage and coordinate dependencies, risks, issues to ensure the successful delivery of the project.
• Manage the communication channels and relationships with senior stakeholders.
• Ensure all stakeholders are sufficiently briefed.
• Contribute to the management, monitoring and delivery of remediation action plans and outcomes where needed, in line with expectations / requirements.
• Perform functional and technical Infrastructure review activities as per engagement in the project.
• Identify the Automation opportunities and define the approach. q Identify test environment requirements and liaise (and coordinate) with teams.
• Conduct periodic reviews and inspections of project deliverables and provide feedback.
• Participate in project meetings to provide feedback and statistics of the project.

• Knowledge of Credit Risk PD, EAD and LGD Models for Retail business clients.

Technical skills and competencies required:

• Hands on & Consulting Skills on Base SAS development Framework.
• Sound statistical knowledge, analytical and problem-solving skills are desirable.
• Hands-on experience on Big data technologies (Apache Hadoop, HDFS, Hive).
• Have experience with monitoring tools.
• Development capabilities using python, spark, sas, R languages.
• Good management and analytical skill
• Good writing and oral communication skills
• Good understanding of and experience in projects (e.g. SDLC, Agile methodology) · Hands on experience in Big Data space (Hadoop Stack )

Nice to have:

• A good understanding of IFRS9 Risk and compliance would be highly beneficial

Processes:

• Good understanding and able to apply processes laid down within the team, and/or standards as defined by project .
• Provide technical expertise in Automation, Infra Methodologies, Admin Processes, Development best practises, Tools and Techniques across the teams.
• Be an escalation point for all matters related to Infrastructural changes.