Cross River Bank provides technology infrastructure powering the future of financial services. Leveraging a proprietary real-time banking core, Cross River delivers innovative and scalable embedded payments, cards and lending solutions to millions of consumers and businesses. Cross River is backed by leading investors and serves the world’s most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion. Member FDIC.

Cross River’s Compliance team makes sure that our business is always consistent with current regulations, and as Fair Lending Business Data Analyst, you play a key role. You will partner with the Fair Lending Business Data Manager and Fair Lending Data Management team to assess and evaluate fair lending performance of CRB third-party Partners, perform transactional testing, identify and resolve control deficiencies, and execute remediation plans. You are a motivated team player and work seamlessly with cross-functional teams, advocating best practices and continually looking for ways to improve process control in the most efficient way possible.

In this role you will primarily focus on integrating FinTech products to our API by conducting sandbox and production testing. Additionally, you will assist with performing statistical analysis and transaction reviews to determine Fair Lending risks associated with CRB and its FinTech partners in underwriting and pricing.

Responsibilities:

• Review Fintech partner policies and procedures in depth and build a data dictionary field list following CRB procedures with all the stated and interpreted critical data elements (CDE) mentioned in the documentation.
• Ability to understand Fintech partner products, models, policies, procedures, application flow, and programmatical flow.
• Succinctly and clearly communicate intricate fact patterns to others by understanding complex business models that involve multiple products, investor programs, and tri-party banking relationships.
• Obtain and analyze data from multiple sources by reviewing several API databases, data science reports, JSON scripts, and application source documentation.
• Work with Fintech partners to communicate all identified data observations and document responses. Manage the data remediation from Fintech partners in the API and/or data tapes.
• Manage data quality testing schedules to ensure all tasks and reporting are completed within established timeframes.
• Work closely with Fair Lending Compliance, IT, Product, Engineering, and Data Science to continuously enhance the API framework by identifying bugs, automations, and validation rules.
• Propose methods of testing and create testing work papers. Additionally, ensure testing methodologies comply with required guidelines and regulations throughout the entire testing cycle.
• Plan and assist with the development and implementation of in-house processes for data collection, assessment, validation, analysis, and correction to determine any limitations on reliability or usability of the data necessary for Fair Lending and Compliance monitoring and testing.
• Document processes and procedures for onboarding partner experiences and regulatory requirements.

Qualifications:

• Bachelor’s degree in a financial or quantitative field (e.g. Finance, Accounting, Statistics, Economics, Applied Mathematics, Computer Science) required.
• 3+ years industry experience in finance/banking with knowledge of how consumer and commercial loans, and credit cards are underwritten and priced.
• Proficiency in data analysis tools and techniques, with the ability to perform analyses using software such as Excel.
• Excellent communication skills, with the ability to effectively convey complex information to both technical and non-technical audiences.
• Ability to work independently to produce high quality work products.
• Demonstrate strong problem-solving, conceptual, written, verbal, and attention to detail skills. Ability to collaborate with internal and external stakeholders.
• Maintain strong time management, organizational, and prioritization skills; ability to complete multiple concurrent tasks within close deadlines with a high degree of accuracy and detail.
• Quickly learn project and change management tools (e.g. monday.com, Jira, Confluence, Zendesk, SharePoint).

Preferred Qualifications:

• Technical experience at a level where you can enable client troubleshooting, specifically using API UI’s, Swagger, and Postman.
• Skilled in sending requests to APIs and analyzing the responses. Ability to read and interpret JSON scripts, SQL queries, etc.
• Experience related to Fair Lending, KYC, AML, BSA, or compliance due diligence.
• 1+ year experience in conducting fair lending statistical analysis for a bank. RiskExec experience a plus.
• Demonstrate an understanding of testing methodology, business processes, control frameworks, and related regulatory and compliance standards.