We are seeking an experienced Business Analyst to join our banking client’s team, with a focus on Credit Risk, Fraud Prevention, and large-scale data analysis. The ideal candidate brings strong analytical acumen, deep domain knowledge in financial services, and proven expertise in identifying data integrity issues and driving continuous process improvement. Contract Period: 12 months with potential to extend or convert Location Type: Remote in USA (Working East Coast hours) Business Hours: Monday to Friday; 8 AM to 5 PM Contract Type: Only W2 - No C2C Key Responsibilities • Analyze and document business requirements for initiatives focused on credit risk, fraud detection, and mitigation strategies. • Perform data lineage tracking, gap analysis, and identify patterns across large, complex data sets to support strategic decision-making. • Collaborate with cross-functional teams including Risk, Compliance, Data Engineering, and Product to translate business needs into actionable insights and deliverables. • Identify and investigate data integrity issues and conduct root cause analysis, providing recommendations for long-term fixes and process enhancements. • Visualize trends and performance indicators using data analysis tools, helping business stakeholders better understand risk patterns and operational impact. • Gather, validate, and document business and functional requirements using structured business analysis methodologies. • Support the end-to-end project delivery lifecycle, including requirement gathering, testing, implementation, and post-go-live support. • Drive continuous improvement by proactively identifying opportunities to streamline business processes and enhance data reliability. • Maintain a deep understanding of banking regulations, credit products, and fraud risk in a financial institution environment. Required Qualifications • 5+ years of Business Analysis experience with a focus on risk, fraud, or data-heavy environments. • 5+ years of experience working with large data sets, including data lineage, integrity checks, and visualization of data patterns. • 5+ years of experience in Credit Risk analysis, reporting, and operational support. • 5+ years of experience in Fraud Risk or fraud analytics within the banking or financial services industry. • Strong knowledge of banking operations and financial regulatory compliance (U.S. market). • 3+ years of hands-on banking experience in a mid-to-large size institution. • Solid experience in project delivery, including agile or hybrid methodologies. • Strong data analysis skills; proficiency in tools such as SQL, Excel, or data visualization platforms (Power BI, Tableau, etc.) is a plus. • Proven ability to conduct root cause analysis, identify issues, and implement corrective action plans. • Excellent communication and stakeholder management skills, with the ability to simplify complex data for non-technical audiences. Preferred Skills • Familiarity with risk modeling frameworks, credit scoring systems, or fraud detection platforms. • Understanding of data governance, data quality, and metadata management. • Experience working in cross-functional environments with technical and non-technical stakeholders. • • • • ALL CANDIDATES MUST COMPLETE A FULL BACKGROUND CHECK AS PART OF THE APPLICATION PROCESS • • • • How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply. Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.