About Mercuryo
Mercuryo is building a platform that combines traditional banking with decentralized finance, simplifying access to crypto and integrating it into the broader financial ecosystem. It partners with Web3 projects and financial brands to provide crypto on-ramp and payment solutions.
Responsibilities
•Model new products from launch by defining data logging and revenue and cost recognition, then delivering data marts and dashboards
•Turn stakeholder questions into reliable datasets and Metabase or Tableau dashboards
•Build and tune data-quality checks and alerts using dbt tests and Airflow checks, covering gaps between internal systems, the blockchain, custody platforms, and exchanges
•Build and maintain dbt models that assign acquirer, interchange, scheme, FX, KYC, transaction-monitoring, fraud-screening, chargeback, blockchain, and custody costs to transactions
•Match partner invoices and settlement reports against internal data monthly, investigate and quantify discrepancies, support recovery, and automate manual checks
•Define fee and cost logic for new acquirers, payment methods, and products; specify data mappings for Data Engineering and validate results before reporting
Requirements
•5+ years in data analytics or analytics engineering, preferably in payments, fintech, e-money, or crypto
•Expert SQL skills with large transactional datasets, including window functions, deduplication, incremental logic, and performance tuning; able to read and safely refactor complex models
•Hands-on experience with dbt or similar and git-based workflows, including PRs and code review; familiarity with Airflow
•Solid understanding of card payment economics, including acquiring, interchange and scheme fees (IC++), settlement, chargebacks, 3DS, and declines; familiarity with alternative payment methods
•Experience reconciling settlement or invoice files against internal ledgers and explaining discrepancies precisely
•Hands-on experience with Python
•Experience with Metabase, Tableau, or similar BI tools
•Clear communication with non-technical stakeholders
•Professional English, written and spoken
Nice to have
•Knowledge of crypto infrastructure, including on-chain transactions, custody platforms, exchange APIs, and network fees
•Experience with KYC/AML and fraud-prevention vendors and their pricing models
•ClickHouse, StarRocks, or another MPP database
•Experience building P&L or unit-economics models with Finance
Conditions
•Competitive market rate salary and performance-based incentives
•22 days of annual leave, 6 additional company days, and bank holidays
•Comprehensive health insurance plans
•Maternity and paternity leave support
•Extensive benefits program
•Flexible work schedule and remote work options
•Modern offices and co-working spaces across 6 countries
•Working equipment
•Professional development and training opportunities
•Opportunity to shape the initiatives you work on
•Diverse and friendly team
