Data Analyst (Integrated Risk Management)
New
P
Plata CardBanking and Finance
WorldwideFull-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLData AnalysisRisk Management
Requirements
- Experience using agentic-coding analytics as a primary way of working.
- Ability to read, verify, and reconcile agent-generated SQL and Python code.
- Strong analytical judgment to translate ambiguous data into clear conclusions.
- Solid working understanding of retail banking products (cards, loans, deposits) and payment infrastructure.
- Experience with the lending and collection lifecycle and core operational banking processes.
- Proficiency in statistical and modeling fundamentals, including regression, anomaly detection, and basic time-series.
- Ability to work autonomously and manage projects end-to-end.
- Experience with BI and monitoring tools such as Tableau, Looker, Metabase, Power BI, or Streamlit (nice to have).
- Cross-industry analytical experience (nice to have).
Responsibilities
- Analyze bank processes to understand data generation and extract insights.
- Build predictive models for expected process and customer behavior.
- Develop scalable monitoring systems using agentic coding to multiply analytical reach.
- Identify early signals of deviations between actual and expected behavior.
- Investigate anomalies, form hypotheses, validate findings, and determine root causes.
- Communicate findings to process owners and senior stakeholders to drive resolution.
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