Senior Analytics Engineer - Finance
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
About the Role
You will translate finance workflows into data and automation solutions. You will build pipelines, models, reconciliations, dashboards, and controls; resolve data issues; support a finance data lake and close activities; improve data timeliness; and evaluate AI-assisted automation for production use.
Requirements
- 7+ years of data analytics and data management experience in financial services or a regulated industry
- SQL and Python skills
- Git, merge request, code review, testing, and documentation experience
- Experience building pipelines and models with dbt, Spark, Airflow, or comparable tools
- Experience with finance or accounting data and reconciliations
- Experience owning pipelines end to end
- Experience supporting recurring financial close activities
- Ability to collaborate across Engineering and Finance
Responsibilities
- Partner with Finance to translate workflows and business needs into data and automation solutions
- Build and maintain automated data preparation, reconciliation, reporting, and follow-up workflows
- Build dashboards and visualizations for finance stakeholders
- Resolve finance data issues and reconciliation breaks
- Build scalable pipelines that collect, transform, and curate data
- Support a trusted finance data lake with definitions, ownership, and quality checks
- Improve data timeliness for near-real-time insights
- Evaluate and prototype AI-assisted automation solutions
Hiring Process
Job-related skills or work-style assessment may be requested; results are considered alongside experience and interviews.