Sr Data Analyst Data and Audit Readiness
Payward, Inc. is a global financial infrastructure company and the parent organization behind Kraken. It provides trading, custody, payments, lending, staking, tokenized assets, derivatives, and market data infrastructure to consumers, professional traders, institutions, enterprises, fintechs, banks, exchanges, asset managers, and onchain platforms.
Funding history
Investors
Projects
About Payward, Inc.
Payward, Inc. operates a unified financial infrastructure platform powering a portfolio of products including Kraken, NinjaTrader, Breakout, xStocks, CF Benchmarks, and Payward Services. Its shared architecture provides global liquidity, risk and margin management, collateral and settlement, compliance and licensing, and operational infrastructure across crypto, tokenized assets, and traditional markets. Through Payward Services, the company offers APIs and infrastructure for crypto trading, custody, on/off-ramps, tokenized equities, derivatives, staking and yield, payments, and benchmark data. Payward operates across more than 190 jurisdictions and serves consumers, professional traders, institutional investors, enterprises, fintechs, banks, exchanges, asset managers, and DeFi/onchain protocols.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own audit-readiness inventories, playbooks, catalogs, and access processes for data systems and datasets. You will build ETL pipelines, dashboards, data-quality checks, and audit-ready architecture while assessing downstream impacts, documenting requirements, and translating audit needs into technical solutions.
Requirements
- 7+ years of experience in data analytics or data engineering
- Experience supporting internal audit, risk, or SOX compliance functions
- Data architecture experience in a regulated environment
- Production data pipeline development and ownership
- dbt
- Airflow or equivalent orchestration tools
- Advanced SQL
- Python
- Technical and business requirements documentation
- Metadata and data dictionary documentation
- ETL workflow scheduling and troubleshooting
- Data governance
- Downstream impact analysis
- Stakeholder communication
Responsibilities
- Collaborate on technical coordination and stewardship for audit-scoped datasets and systems
- Improve governance and coordination around schema and logic changes
- Assess downstream impacts of data and system changes
- Develop reusable audit-ready dataset patterns
- Automate validation, data-quality checks, and monitoring
- Review audit-scoped processes and datasets
- Propose process improvements and reengineering opportunities
- Provide technical guidance on audit requests
Benefits
- Bonus program
- Equity program
- Wellness allowance
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)