Related skills
looker sql risk python tableau📋 Description
- Lead analytics and data design for priority regulatory reports from requirements to go-live.
- Partner with Compliance, FCC, Finance, DataOps & Data Engineering to standardize dimensions.
- Define automated test suites and QA playbooks with Data Engineering.
- Leverage snapshotting and versioning to reproduce as-of reports for RFIs/audits.
- Conduct deep-dive analyses for anomalies; quantify impact and root causes.
- Shape requirements for a scalable regulatory reporting and risk analytics platform.
🎯 Requirements
- Bachelor's in Mathematics, Statistics, OR related quantitative field.
- 5+ years risk management analytics, modeling, and stakeholder management.
- 5+ years SQL; scripting in Python, Shell, or R.
- Experience building visualizations using Looker or Tableau.
- Excellent communication and stakeholder management across Legal, Risk, Compliance, Finance, and Engineering.
- Direct regulatory reporting experience in risk/compliance is preferred.
- Familiarity with fintech data modelling (payments, FX, wallets, cards, lending).
- Exposure to model risk or AI/ML governance.
- Analytical thinker; ability to validate strategies with data.
- Experience with cross-functional, distributed teams; influence is a plus.
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