Data Analyst [Integrated Risk Management]

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