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
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and maintain reliable financial data products, pipelines, models, and automated reconciliations. You will partner with Finance to translate workflows into automation, resolve data issues, develop dashboards, improve data timeliness, and evaluate AI-assisted solutions for production use.
Requirements
- 7+ years of data analytics and data management experience in financial services or a regulated industry
- SQL
- Python
- Git
- Merge requests
- Code review
- Software engineering
- Testing
- Documentation
- dbt
- Spark
- Airflow
- Finance data
- Accounting data
- Reconciliation
- Subledger
- Cost basis
- Month-end close
- Pipeline ownership
- Financial close
- Communication
Responsibilities
- Partner with Finance to translate workflows and business needs into data and automation solutions
- Build and maintain automated workflows for data preparation, reconciliations, reporting, and follow-ups
- Build dashboards and visualizations for performance analysis and issue investigation
- Resolve finance data issues and reconciliation breaks with Finance, Product, and Engineering
- Build scalable pipelines to collect, transform, and curate internal and external data
- Support the rollout of a trusted finance data lake with quality checks
- Improve data timeliness and enable near-real-time insights
- Evaluate and prototype AI-assisted automation solutions
Benefits
- Equity program
- Bonus program
- Wellness allowance
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
Hiring Process
Job-related skills or work-style assessments may be used alongside experience and interviews.
