Data Analyst [Integrated Risk Management]

Join Plata as a Risk Data Analyst in the Integrated Risk Management team, focusing on data analysis to prevent financial losses through innovative AI solutions. We’re looking for a Risk Data Analyst to join Integrated Risk Management team. This is a second-line-of-defense role at the intersection of data, banking operations, and risk.

• •Dig deep into the bank’s key processes — understand how data is generated and structured, and what insight can be extracted from it.
• •Build predictive models of expected process and customer behavior.
• •Set up broad, scalable monitoring across as many processes as possible, using agentic coding as the default (not the exception) to multiply your reach.
• •Spot early signals — deviations between actual and expected behavior — that hint at emerging problems.
• •Investigate anomalies: form hypotheses, validate or disprove them, and trace issues back to their root cause.
• •Bring concrete findings to process owners and senior stakeholders, and drive them through to resolution.

• •Relocation support to one of our hubs — Mexico, Cyprus, Serbia — with assistance for the employee and their family.
• •Flexible work from one of our offices or remote.
• •Healthcare Coverage.
• •Education Budget: Language lessons, professional training and certifications.
• •Wellness Budget: Mental health and fitness activity reimbursements.
• •Vacation policy: 20 days of annual leave and paid sick leave.

• •Agentic-coding analytics is your primary way of working (essential).
• •You can read and critically verify agent-generated SQL and Python.
• •Strong analytical judgment — you turn messy, ambiguous data into clear conclusions.
• •Solid working understanding of how a retail bank operates — products, payment infrastructure, and core operational processes.
• •Anomaly-detection and early-warning mindset.
• •Statistical and modeling fundamentals (regression, anomaly detection, basic time-series).
• •Autonomy — you take an area end-to-end without constant direction.
• •Nice to have: Experience with BI and monitoring tools (Tableau, Looker, Metabase, Power BI, Streamlit).
• •Cross-industry breadth — you’ve solved analytical problems in more than one domain.