Senior Data Analyst Compliance
Payward, Inc. is the parent company and operating platform behind Kraken and a portfolio spanning trading, custody, payments, lending, tokenized assets, onchain finance, and benchmarks.
Funding history
Investors
Projects
About Payward, Inc.
Payward operates unified financial infrastructure across crypto and traditional markets, including shared liquidity, risk and margin systems, collateral and settlement, compliance, and licensing. Its first-party portfolio includes Kraken, Kraken Pro, NinjaTrader, Breakout, xStocks, Payward Services, CF Benchmarks, Reap, Krak, Kraken Prime, Kraken OTC, Kraken Custody, and Bitnomial.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own compliance data management from datasets and pipelines through dashboards and insights. You will develop transaction-monitoring logic, build Python and SQL workflows, evaluate detection rules, run historical analyses, and support testing, deployment, monitoring, backfills, and downstream compliance integrations.
Requirements
- 7+ years of experience in data analysis, data science, and data management
- Experience analyzing large datasets and applying statistical methods
- Python and SQL skills
- Experience building and supporting production data or analytical systems
- Experience with dbt or similar data-modeling tooling
- Experience with data pipelines and workflow orchestration
- Knowledge of version control, automated testing, code review, and CI/CD
- Statistical knowledge
- Experience with BI and data-visualization tools such as Hex, Tableau, or Power BI
- Ability to investigate production issues and communicate findings to non-technical stakeholders
- Based in Canada, the US, or Brazil
- English fluency
Responsibilities
- Own transaction-monitoring logic and rule setting for deposits and withdrawals
- Translate compliance requirements into production detection logic
- Develop and maintain Python and SQL pipelines
- Evaluate detection rules and analytical models
- Design reproducible historical-data evaluations
- Own testing, deployment, scheduling, monitoring, and operational support for detection workflows
- Investigate data-quality issues, pipeline failures, and detection-result changes
- Execute validated historical backfills and maintain alert-delivery integrations
- Experiment, test hypotheses, and translate insights into action
Benefits
- Bonus program
- Equity program
- Wellness allowance
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
