VP, Risk Engineer - Liquidity Risk

February 24, 2026

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We are seeking a senior technologist with strong liquidity risk domain knowledge and hands-on engineering skills to build and enhance analytics and data products supporting Treasury and liquidity risk stakeholders. This role requires a self-starter who can work independently and partner directly with business users to deliver end-to-end solutions in a cloud data environment. Key Responsibilities<ul><li>Partner directly with Liquidity Risk, Treasury, and/or Rates stakeholders to understand requirements and translate them into scalable technical solutions. </li><li>Design and build data pipelines, analytics layers, and production-ready services to support liquidity risk metrics, reporting, and monitoring. </li><li>Develop and maintain Python-based components for data processing, analytics, and automation. </li><li>Build and operate solutions on AWS, leveraging cloud-native patterns for reliability, security, and scalability. </li><li>Implement and optimize data models and workflows in Snowflake, including performance tuning and cost-aware design. </li><li>(Plus) Build end-to-end full-stack systems, including APIs/services, data layers, and BI/reporting experiences. </li><li>(Plus) Develop BI dashboards and reporting artifacts; ensure data quality, reconciliation, and clear lineage for business consumption. </li><li>Drive delivery independently: manage workstreams, communicate progress, and iterate quickly with business users.</li></ul> Required Qualifications<ul><li>7+ years of professional experience in software engineering, data engineering, or quantitative/analytics engineering roles. </li><li>Liquidity risk domain knowledge (or closely related experience in Treasury, rates risk, or rates trading). </li><li>Strong Python development skills (production-grade code, testing, performance awareness). </li><li>Working knowledge of AWS (core services and cloud architecture fundamentals). </li><li>Hands-on Snowflake experience (data modeling, SQL, optimization, and operational best practices). </li><li>Proven ability to operate as a self-starter and work independently with direct business user engagement.</li></ul> Preferred Qualifications (Big Plus)<ul><li>BI development experience (e.g., building dashboards, semantic layers, metrics definitions). </li><li>Ability to build end-to-end “full-stack” systems (data ingestion → storage/modeling → services/APIs → BI/UI).</li></ul>

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