CONTRACTOR - Business Analyst-Credit Risk (Intermediate)
About the position
Lead end‑to‑end business analysis for regional and global Credit Risk initiatives, including requirements elicitation, workflow and process mapping, data discovery, and solution design aligned to strategic objectives. Lead requirements and operating‑level meetings, ensuring discussions are structured and decisions/actions are documented and shared. Conduct data analysis using SQL/Python to support requirements clarification, root‑cause investigations, solution validation, and continuous improvement efforts. Produce high‑quality functional documentation, including workflow diagrams and user stories. Design, implement, and test ETL processes using low-code tools or Python. Coordinate and execute testing activities across DEV, UAT, and PROD environments, including functional, regression, integration, and user‑acceptance testing. Participate in production deployments by validating changes, conducting smoke tests, and ensuring successful post‑deployment behavior. Participate in a rotating production support model involving monitoring, initial investigation of issues, and coordination with technical teams and users. Identify opportunities to streamline business processes, enhance system functionality, eliminate recurring issues, and strengthen operational efficiency. Engage with architects and subject matter experts to help design robust solutions.
Responsibilities
• Lead end‑to‑end business analysis for regional and global Credit Risk initiatives, including requirements elicitation, workflow and process mapping, data discovery, and solution design aligned to strategic objectives.
• Lead requirements and operating‑level meetings, ensuring discussions are structured and decisions/actions are documented and shared.
• Conduct data analysis using SQL/Python to support requirements clarification, root‑cause investigations, solution validation, and continuous improvement efforts.
• Produce high‑quality functional documentation, including workflow diagrams and user stories.
• Design, implement, and test ETL processes using low-code tools or Python.
• Coordinate and execute testing activities across DEV, UAT, and PROD environments, including functional, regression, integration, and user‑acceptance testing.
• Participate in production deployments by validating changes, conducting smoke tests, and ensuring successful post‑deployment behavior.
• Participate in a rotating production support model involving monitoring, initial investigation of issues, and coordination with technical teams and users.
• Identify opportunities to streamline business processes, enhance system functionality, eliminate recurring issues, and strengthen operational efficiency.
• Engage with architects and subject matter experts to help design robust solutions.
Requirements
• Undergraduate or graduate degree in a relevant field (Computer Science, Engineering, Finance, etc.).
• Analytical mindset, curiosity, and creative problem‑solving capabilities.
• Excellent organizational, written, and verbal communication skills.
• Professional experience in a bank or financial services organization, including hands-on experience with risk systems or deal-processing applications (SFTs, derivatives, commercial loans, etc.).
• Experience with referential systems and data for Client & Legal Entity, Master Agreements, and Product/Instruments.
• Strong SQL skills, including writing multi-table joins and queries for analysis and testing.
• Ability to write clear documents, structured business communications, and user stories.
• Ability to read stored procedures and navigate relational data models.
• Experience integrating data from APIs, databases, flat files, XML, and Parquet sources.
• Experience implementing ETL/ELT processes.
• Python scripting experience for automation, troubleshooting, or data manipulation.
• Comfort working in Unix/Linux environments (command‑line analysis, script execution).
• Hands‑on experience with Agile/Scrum methodology.
• Experience using Jira, Confluence, or similar Agile collaboration tools.
• Knowledge of Credit Risk and Counterparty Credit Risk concepts.
Nice-to-haves
• Familiarity with Basel III / Basel IV regulatory frameworks.
• Experience with Power BI or comparable BI/reporting tools.
• Experience with no‑code/low‑code tools.
• Awareness of Azure cloud architecture fundamentals.
• Ability to support teams through on‑premise → Azure migration activities (inventorying dependencies, documenting data flows, identifying risks).
• Exposure to cloud analytics technologies such as Azure Synapse or Databricks.
• Familiarity with data lakes, lakehouses, and data‑warehouse architectures
Apply Now
Apply Now
Lead end‑to‑end business analysis for regional and global Credit Risk initiatives, including requirements elicitation, workflow and process mapping, data discovery, and solution design aligned to strategic objectives. Lead requirements and operating‑level meetings, ensuring discussions are structured and decisions/actions are documented and shared. Conduct data analysis using SQL/Python to support requirements clarification, root‑cause investigations, solution validation, and continuous improvement efforts. Produce high‑quality functional documentation, including workflow diagrams and user stories. Design, implement, and test ETL processes using low-code tools or Python. Coordinate and execute testing activities across DEV, UAT, and PROD environments, including functional, regression, integration, and user‑acceptance testing. Participate in production deployments by validating changes, conducting smoke tests, and ensuring successful post‑deployment behavior. Participate in a rotating production support model involving monitoring, initial investigation of issues, and coordination with technical teams and users. Identify opportunities to streamline business processes, enhance system functionality, eliminate recurring issues, and strengthen operational efficiency. Engage with architects and subject matter experts to help design robust solutions.
Responsibilities
• Lead end‑to‑end business analysis for regional and global Credit Risk initiatives, including requirements elicitation, workflow and process mapping, data discovery, and solution design aligned to strategic objectives.
• Lead requirements and operating‑level meetings, ensuring discussions are structured and decisions/actions are documented and shared.
• Conduct data analysis using SQL/Python to support requirements clarification, root‑cause investigations, solution validation, and continuous improvement efforts.
• Produce high‑quality functional documentation, including workflow diagrams and user stories.
• Design, implement, and test ETL processes using low-code tools or Python.
• Coordinate and execute testing activities across DEV, UAT, and PROD environments, including functional, regression, integration, and user‑acceptance testing.
• Participate in production deployments by validating changes, conducting smoke tests, and ensuring successful post‑deployment behavior.
• Participate in a rotating production support model involving monitoring, initial investigation of issues, and coordination with technical teams and users.
• Identify opportunities to streamline business processes, enhance system functionality, eliminate recurring issues, and strengthen operational efficiency.
• Engage with architects and subject matter experts to help design robust solutions.
Requirements
• Undergraduate or graduate degree in a relevant field (Computer Science, Engineering, Finance, etc.).
• Analytical mindset, curiosity, and creative problem‑solving capabilities.
• Excellent organizational, written, and verbal communication skills.
• Professional experience in a bank or financial services organization, including hands-on experience with risk systems or deal-processing applications (SFTs, derivatives, commercial loans, etc.).
• Experience with referential systems and data for Client & Legal Entity, Master Agreements, and Product/Instruments.
• Strong SQL skills, including writing multi-table joins and queries for analysis and testing.
• Ability to write clear documents, structured business communications, and user stories.
• Ability to read stored procedures and navigate relational data models.
• Experience integrating data from APIs, databases, flat files, XML, and Parquet sources.
• Experience implementing ETL/ELT processes.
• Python scripting experience for automation, troubleshooting, or data manipulation.
• Comfort working in Unix/Linux environments (command‑line analysis, script execution).
• Hands‑on experience with Agile/Scrum methodology.
• Experience using Jira, Confluence, or similar Agile collaboration tools.
• Knowledge of Credit Risk and Counterparty Credit Risk concepts.
Nice-to-haves
• Familiarity with Basel III / Basel IV regulatory frameworks.
• Experience with Power BI or comparable BI/reporting tools.
• Experience with no‑code/low‑code tools.
• Awareness of Azure cloud architecture fundamentals.
• Ability to support teams through on‑premise → Azure migration activities (inventorying dependencies, documenting data flows, identifying risks).
• Exposure to cloud analytics technologies such as Azure Synapse or Databricks.
• Familiarity with data lakes, lakehouses, and data‑warehouse architectures
Apply Now
Apply Now