• Proactively monitor and mitigate risks across Chainlink’s portfolio of data products • Drive initiatives to understand and respond to changes in the rapidly evolving crypto ecosystem that affect our feeds • Triage alerts that indicate data quality or risk issues, and improve the quality of those alerts • Debug issues based on contextual knowledge of data providers, node operators and Chainlink’s data infrastructure • Write and run Python scripts to perform data pulls, exploratory data analysis, and charting • Develop new processes and tools to manage new risks

• Analyze Government requirements and existing data structures to deliver a draft Department of Navy (DON) Procurement Data Strategy and a corresponding Data Governance Plan. • Define data stewardship roles, technical responsibilities, and data access control configurations. • Develop automated data quality validation rules and thresholds used to measure data integrity. • Create a high-level, business-focused model that defines primary business entities and their relationships. • Produce a detailed logical data model that serves as the master data dictionary, visually represented through an ERD. • Illustrate the end-to-end lineage of data, visualizing data movement and transformations. • Populate an enterprise-accessible catalog with all the artifacts and metadata defined above. • Develop reference guides and training material for data stewards and product owners focusing on data as a strategic business enabler. • Collaborate on design and development of comprehensive data governance frameworks, policies, and procedures. • Partner with senior management to align data governance initiatives with enterprise goals and best practices. • Facilitate data governance requirements across the Department of Navy acquisition and procurements community.

• Achieve and exceed underwriting performance and revenue goals, underwriting in accordance with our stated procedures. • Price accounts with competitive terms quickly, thoughtfully, and in accordance with our guidelines. • Manage quote related communication and questions in a thoughtful and trusting manner. • Collaborate with the underwriting team of Risk Engineers on understanding the unique exposures of complex accounts. • Provide market feedback and recommend improvements to our terms, rates, and guidelines improving our policy forms and coverages. • Bind accounts through the continuous engagement of your assigned brokers. • Represent Counterpart at broker meetings and various industry events. • Contribute ideas and feedback on our suite of tools and services as a key stakeholder of our product roadmap.

• Operationalizing the Model Risk Management framework, maintaining policy, standards and procedures • Executing ongoing model risk management responsibilities, including model inventory & classification • Identifying gaps and deficiencies in financial risk and capital/liquidity models • Communicating on model risk related issues with internal and external teams • Working closely with other risk and compliance teams for cohesive risk management