Job Description

We are seeking a

Production Support Expert

with strong expertise in

SAS Risk Management Systems

to ensure the stability, availability, and performance of mission-critical risk and regulatory applications. The candidate will be responsible for resolving incidents, monitoring batch jobs, supporting business users, and working closely with IT and risk teams to meet operational SLAs.

Key Responsibilities:

Provide

L2/L3 production support

for SAS Risk Management solutions, including batch processing and report generation Monitor and troubleshoot

SAS Grid jobs

, ETL pipelines, and database interactions Diagnose and resolve issues related to

data ingestion, model execution, and regulatory report generation

Analyze and interpret SAS logs, Grid logs, and database logs to identify root causes of failures Support

regulatory reporting

processes such as

Basel III/IV, IFRS 9, CECL, ICAAP

, etc. Assist in

code deployments

, patching, and environment migrations (DEV/TEST/PROD) Maintain system health and job schedules using

Control-M, Autosys, or cron

Collaborate with risk modelers, compliance teams, and IT infrastructure to resolve production issues Create and maintain documentation including

runbooks, SOPs, RCA reports, and support guides

Ensure adherence to ITIL processes for incident, change, and problem management

Requirements

Required Skills & Qualifications:

Technical:

5+ years experience with

SAS

tools: Base SAS, SAS Grid, SAS EG, SAS DI Studio Strong

Unix/Linux

skills and experience with shell scripting (bash/ksh) Proficient in

SQL and Oracle

or similar RDBMS Experience with

job schedulers

like Control-M, Autosys, or UC4 Familiarity with

risk data models

(PD, LGD, EAD, RWA) and

regulatory reporting

requirements Ability to read and debug

SAS logs

and troubleshoot data/model issues

Functional:

Experience supporting SAS solutions for

credit, market, or operational risk

Understanding of

regulatory compliance

frameworks (Basel II/III/IV, IFRS 9, CECL, etc.) * Knowledge of

model lifecycle management

and production validation processes