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