What you bring

• Experience: 5+ years in data analysis, finance analytics or regulatory reporting within payments, fintech, banking or related financial services.
• Expert-level SQL skills for data extraction and complex aggregations in BigQuery.
• Strong proficiency in Python (Pandas, Numpy) for data research and modeling.
• Extensive experience with BI tools, preferably Looker or Grafana (or similar tools like Tableau, Power BI), and building dashboards for C-level executives.
• Solid understanding of financial terminology, P&L structures, IFRS standards, and risk metrics (EAD, LGD, RWA).
• Proven ability to write clear technical requirements for the Data Engineering team (understanding of DWH concepts).

Nice to have

• Experience with streaming data and event schemas (Kafka, Kinesis) or working knowledge of Spark/BigQuery/Snowflake.
• Prior experience in crypto payments, custody reconciliation, or AML/transaction monitoring analytics.
• Familiarity with regulatory reporting standards and formats (e.g., CTR/STR workflows, local payments reporting, or similar regimes).
• Degree in finance, accounting, mathematics, computer science, or a related discipline.

What we offer

• Work fully remote as part of an agile, international team shaping the future of finance.
• Competitive salary range determined by individual experience and contribution.
• Career progression with opportunities to grow into senior technical, management, or cross‑functional roles.
• Impact & ownership: Work on mission‑critical reporting where accuracy, transparency, and compliance are essential.
• Collaborative culture: Join a transparent environment that values open dialogue, experimentation, and measurable impact.

If you are excited by turning complex financial and regulatory requirements into reliable, auditable analysis and reporting, we'd love to hear from you.

Please apply with a CV and a short note describing a reporting, reconciliation or regulatory challenge you led, your role and the technical approach you took.