Business Analyst - Credit Risk

Business Analyst-Credit Risk

Location: New York, NY (Hybrid 4 days onsite), Local Candidates only

Duration: 12 Months +

• 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.

Profile:

• 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 Have:

• 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.