Building the Future of Open Finance

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.

Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.

The team

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

 

We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process.

Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.

 

The opportunity

• You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption.

• Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions.

• Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling.

• Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions.

• Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress.

• Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems.

• Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks.

• Improve data timeliness, enabling near-real-time insights where they add business value.