Business Analyst, Credit Risk – Intermediate

SoHo Dragon

. 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.

Posted 3/11/2026contractNew York City • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLLinuxPythonSQLUnix

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide Post a Job Affiliates ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs Account SoHo Dragon Website LinkedIn All Job Openings 201 - 500 employees 🏢 Enterprise ☁️ SaaS 🤖 Artificial Intelligence Enterprise
SaaS
Artificial Intelligence SoHo Dragon is a consulting firm specializing in the implementation and management of Microsoft technologies and cloud solutions. They offer a range of services including Microsoft SharePoint migration, Dynamics 365 applications, Azure cloud solutions, cybersecurity assessments, and AI-driven business process optimization. With a focus on advisory, managed services, and IT infrastructure support, SoHo Dragon helps clients modernize and optimize their digital infrastructures, improve compliance and governance, and leverage AI for enhanced business performance. The firm is dedicated to delivering tailored solutions and fostering long-term partnerships with their clients. Business Analyst, Credit Risk – Intermediate 🔥 50 minutes ago 🏢🏡 New York City – Hybrid ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🧐 Business Analyst 🦅 H1B Visa Sponsor Apply Now Find Hiring Managers Customize resume for this job ☆ Save ☑️ Mark as applied ❌ Hide Report problem 📋 Description
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. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

SQLPythonETLdata analysisAgilelow-code toolsdata integrationrelational data modelsscriptingbusiness analysis

Soft Skills

analytical mindsetproblem-solvingorganizational skillscommunication skillscuriositycreativitycollaborationdocumentationattention to detaildecision-making