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
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