Key Responsibilities Model Lifecycle Support: Assist in the end-to-end development, testing, and performance monitoring of market and communication surveillance models. Validation & Documentation: Help drive the Model Validation process by drafting Model Development Documents (MDD) that outline performance thresholds, limitations, and overlays. Triage & Data Analysis: Perform data analysis and experimental design to address business requirements and investigate model alerts (triage). Cloud Engineering: Work within Azure (ADF & Databricks) to support computational Compliance objectives. Governance: Maintain code repositories (Git) and technical documentation for data flows and computation architecture. What You Bring Financial IQ: You must understand the "guts" of financial products. You should be able to explain what a Bond is, how fixed-income products work, and how they are traded in the market. MDLC Interest: A strong desire to work across the full model lifecycle—from initial triage to formal validation. Technical Foundations: Proficiency in Python and SQL is required. Experience with (or a strong willingness to learn) Azure Databricks and ADF is highly preferred. Quantitative Background: Knowledge of statistical concepts, including sampling methods, probability distributions, and experimental design. Education: Bachelor’s or Master’s degree in a quantitative field (Finance, Statistics, Computer Science, or Math). Why Join Us? This is a rare opportunity for a junior-to-mid-level professional to gain elite experience in Trade Surveillance. You will work directly with senior quants and developers, gaining exposure to cutting-edge ML/NLP algorithms and cloud-native financial engineering. If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!