Data Analyst [Integrated Risk Management] at Plata Card

Job description

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. You’ll dig into the bank’s core processes, payment infrastructure, and customer-behavior data to catch problems before they turn into real financial losses — using AI and agentic coding to monitor far more than any analyst could by hand. Challenges that await you : 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 What makes you a great fit : Agentic-coding analytics is your primary way of working (essential) — you multiply your reach with AI tools rather than hand-writing everything You can read and critically verify agent-generated SQL and Python — follow the logic, reconcile it against the data, and catch errors. Heavy hands-on coding is not required, but you can’t be fooled by plausible-looking output Strong analytical judgment — you turn messy, ambiguous data into clear conclusions, and you instinctively question results, including those of your own tools Solid working understanding of how a retail bank operates — products (cards, loans, deposits), payment infrastructure, the lending and collection lifecycle, and core operational processes. You need this to know what “normal” looks like Anomaly-detection and early-warning mindset — comfortable defining expected behavior and monitoring for deviations at scale Statistical and modeling fundamentals (regression, anomaly detection, basic time-series) — enough to direct and sanity-check models 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 Risk or banking-domain experience is welcome but not required — we care more about analytical strength and curiosity than years in a risk function Our ways of working : Innovative Spirit : a commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits : 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

Requirements

Must-haves

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
Agentic-coding analytics is your primary way of working (essential) — you multiply your reach with AI tools rather than hand-writing everything
Strong analytical judgment — you turn messy, ambiguous data into clear conclusions, and you instinctively question results, including those of your own tools
Anomaly-detection and early-warning mindset — comfortable defining expected behavior and monitoring for deviations at scale
Statistical and modeling fundamentals (regression, anomaly detection, basic time-series) — enough to direct and sanity-check models
Autonomy — you take an area end-to-end without constant direction
Risk or banking-domain experience is welcome but not required — we care more about analytical strength and curiosity than years in a risk function
Innovative Spirit : a commitment to creativity and groundbreaking solutions
Honest Feedback: valuing open, transparent communication
Supportive Team: a strong, collaborative community
Celebrating Achievements: recognizing our wins together
High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpython

Platform: greenhouse
Effort: quick

Benefits

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