Senior Business Analyst driving user engagement and subscription growth at Strava. Collaborating across teams to leverage deep data analyses for retention and growth.
About the role
- Business Analyst-Credit Risk leading end‑to‑end business analysis for investment bank clients. Engaging with stakeholders, facilitating requirements, and ensuring robust solutions for credit risk initiatives.
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 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.
Job title
Job type
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Degree requirement
Tech skills
Location requirements
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