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New York, New York, United States
Onsite
Enterprise Risk Analytics (ERA) resides in the Risk Management Group. RMG serves as an independent point for all risk related issues that affect the Bank’s strategic and business plans and its operating and financial performance. The ERA group is responsible for the Credit Risk Model ownership and credit risk analytics capital allocation, risk exposure measurement methodology, calculation, analysis and reporting and definition of appropriate policy standards/limits, procedures, and metrics.
Position Summary: The Enterprise and Credit Risk Data Analyst supports the Bank's risk management framework by developing and enhancing risk reporting, analytics, and data management solutions. This role is responsible for designing automated reports and dashboards, analyzing risk data from multiple sources, and delivering timely insights that support management and regulatory reporting. The analyst partners with business and technology teams to improve data quality, streamline reporting processes, maintain documentation, and implement effective controls.
The ideal candidate combines strong analytical, technical, and problem-solving skills with a commitment to continuous improvement and industry best practices in risk reporting and data governance.
Essential Job Functions
Support Risk Reporting and Analytics by developing, maintaining, and delivering recurring and ad hoc reports, dashboards, and analyses used to monitor and communicate enterprise and credit risk for management and regulatory purposes.
Develop and Enhance Reporting Solutions by building and maintaining automated reporting processes, databases, dashboards, and visualization tools (e.g., Qlik, WEBI, Microsoft PowerPoint) that improve efficiency, data accessibility, and risk insights.
Manage Risk Data and Data Quality by integrating data from multiple sources, ensuring data accuracy and completeness, identifying reporting gaps, resolving data issues, and implementing process improvements and quality controls.
Collaborate Across the Organization with business partners, technology teams, and vendors to support reporting needs, streamline processes, and enhance risk data and analytics capabilities.
Maintain Documentation and User Support by developing and maintaining data dictionaries, policies, procedures, process documentation, and user guides, while providing training and support for reporting and analytics tools.
Drive Continuous Improvement by monitoring industry trends, regulatory developments, and best practices to enhance the Bank's risk reporting, analytics, and data governance framework.
Qualifications
Strong understanding of enterprise, credit, and market risk management, including risk measurement, financial statement analysis, risk reporting, governance, and regulatory requirements.
Demonstrated analytical, problem-solving, and decision-making skills with the ability to assess risks, identify trends, and recommend effective solutions.
Self-motivated professional with the ability to work independently, manage multiple priorities, and exercise sound judgment in a fast-paced environment.
Experience driving process improvements, automation, and operational efficiencies through scalable risk management and reporting solutions.
Strong project management and organizational skills with the ability to coordinate across multiple stakeholders and manage competing deadlines.
Excellent written, verbal, presentation, and interpersonal communication skills, with the ability to convey complex analytical and risk-related concepts to diverse audiences, including senior management and regulators.
Collaborative team player with the flexibility to adapt to changing priorities and support cross-functional initiatives.
Advanced coding skills in Python and R.
Strong experience working with databases, SQL, and large data sets.
Ability to collect, analyze, and validate data from multiple sources to support risk reporting and decision-making.
Experience developing reports, dashboards, and visualizations using tools such as Power BI, Qlik Sense, Tableau, or similar platforms.
Advanced proficiency in Microsoft Excel, including data analysis, reporting, and process automation.
Knowledge of data governance, data quality, and data management best practices.
Ability to document and maintain data processes, reports, and procedures to support operational effectiveness and knowledge sharing.
Experience evaluating and improving reporting tools, business applications, and technology solutions.
Experience: 5+ years of progressively responsible experience in the financial services industry with exposure in risk management, finance accounting and data and process management. Understanding of credit metrics, relational databases, and visualization tools. Knowledge of capital markets transactions, and/or balance sheet analytics preferred.
Education: Bachelor’s degree in finance, Economics, Business, Computer Science or a related field, an advanced degree or equivalent work experience is preferred
Base Salary Range: $135,000-$155,000
The Federal Home Loan Bank of New York is committed to recruit, hire, develop, motivate, promote, retain, and compensate all applicants and employees in a nondiscriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a parent, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law (including title VII of the Civil Rights Act of 1964).