Greenbox Capital

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services • Own the data engineering framework, including pipeline patterns, orchestration standards, and reusable components • Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions • Define, document, and enforce best practices for ADF, Databricks, Spark, and data modeling • Implement and maintain data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB • Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes • Implement data quality checks, validation frameworks, and monitoring for critical data assets • Design and support governance patterns leveraging Databricks Unity Catalog and Azure-native controls • Develop and maintain documentation for data engineering processes and solutions

• Owning and shaping the performance of our credit portfolio. • Defining the strategies that balance growth, risk, and profitability. • Leading the direction of credit policy, pricing, and portfolio optimization. • Using data and market insights to guide high-impact decisions. • Driving portfolio performance, risk appetite, and policy direction. • Balancing competitiveness and profitability across segments. • Aligning credit strategy with Finance, Product, Sales, and Underwriting. • Ensuring analytics and data teams deliver business impact.

• Own the Salesforce platform roadmap supporting servicing, collections and underwriting workflows • Partner with engineering leadership to improve Salesforce data models, objects, and system integrations • Translate operational and underwriting needs into clear product requirements and development priorities • Design workflow improvements and automation that reduce operational friction and improve processing speed • Lead product discovery, backlog prioritization, and delivery coordination across engineering and business teams • Support product launches through documentation, training, and internal enablement • Expand utilization of Salesforce through improved reporting, integrations, and platform capabilities • Establish QA and UAT processes to improve release quality and reduce defects

• At Greenbox Capital, we help small businesses thrive by giving them fast, accessible funding. • You'll play a key role in modernizing our origination ecosystem by building scalable, high-performance platform services that power critical business workflows. • You'll drive results in platform transformation, API development, and system integration, and your work will directly support our growth, operational efficiency, and ability to innovate. • Deliver scalable services and components that successfully replace legacy platform functionality. • Design and implement secure, maintainable APIs and integrations that support internal systems and third-party platforms. • Partner effectively with engineering, data, and product teams while influencing architecture, standards, and delivery practices.

• Oversee and participate in day-to-day accounting functions including accounts payable, accounts receivable, journal entries, and general ledger maintenance. • Own the month-end close process, including account reconciliations, accruals, and financial statement preparation, ensuring accuracy and compliance with accounting standards (GAAP/IFRS). • Ensure timely and accurate financial reporting to support internal decision-making and leadership oversight. • Maintain and continuously strengthen internal controls, accounting policies, and procedures in alignment with GAAP. • Serve as a key point of contact for external auditors and lead audit preparation and follow-ups. • Ensure accounting practices remain compliant with applicable regulatory and financial reporting requirements. • Evaluate current accounting processes and systems to identify and implement improvements. • Drive automation and scalability to support a growing company environment. • Collaborate with internal stakeholders including Operations, Lending, Executive teams, Asset Servicing, HR, Legal, Finance Consultants, External Auditors, and the Leadership Team to ensure financial integrity and alignment. • Provide support and oversight to junior accounting team members and contribute to their development.

• Design, build, and deploy predictive models that directly impact credit, risk, and product performance • Apply causal inference and experimentation to improve model and business outcomes • Partner with product, risk, and leadership teams to translate business needs into data-driven solutions • Communicate insights clearly to influence strategic decisions • Support production deployment and ongoing optimization of models • Monitor performance and continuously improve model accuracy and reliability

• Conduct comprehensive credit reviews, including bank statements, tax returns, financial statements, and merchant/owner credit profiles • Identify, assess, and resolve risk flags to determine creditworthiness and sources of repayment • Apply underwriting judgment consistently within established credit policies • Perform business due diligence using internal tools and third-party data sources to identify fraud or misrepresentation • Execute risk-based pricing decisions aligned with portfolio performance goals and market conditions • Collaborate with Sales, ISOs, and internal teams to communicate decisions clearly and professionally • Manage competing priorities to meet service-level expectations • Monitor industry trends and emerging risks, recommending improvements to policies, processes, or tools

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services. • Own the data engineering framework, including pipeline patterns, orchestration standards, and reusable components. • Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. • Define, document, and enforce best practices for ADF, Databricks, Spark, and data modeling. • Implement and maintain data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB. • Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes. • Implement data quality checks, validation frameworks, and monitoring for critical data assets. • Design and support governance patterns leveraging Databricks Unity Catalog and Azure-native controls. • Develop and maintain documentation for data engineering processes and solutions.

• Design, develop, and maintain Salesforce solutions using Apex, LWC, SOQL, and APIs • Ensure platform reliability, troubleshoot production issues, and optimize system performance • Partner with Product Managers, QA, and Engineering teams to deliver high-quality, scalable solutions

• Build features that automate underwriting and operational workflows, accelerating our path to instant decisioning. • Prototype early and often — mapping workflows, testing concepts, and creating lightweight validations before engineering commits time. • Explore systems, datasets, and operational processes with curiosity to understand constraints and opportunities. • Drive the roadmap with urgency, technical insight, and clear communication. • Partner closely with engineering, underwriting, operations, and analytics teams throughout discovery and build cycles. • Support launches with documentation, training, and internal enablement. • Analyze product performance, identify root causes, and iterate quickly — owning the outcome of a release.