Head of Financial Systems Engineering
Required skills
- Financial Systems Engineering
- CFO
- Technical strategy
- Delivery roadmap
- Target architecture
- Transformation plan
- Ledgers
- Subledgers
- Financial data models
- APIs
Nice to have
- Rust
- TypeScript
- Node.js
- Python
- NetSuite
- Kyriba
Role summary
Payward, the parent company of Kraken, is seeking a Head of Financial Systems Engineering to lead the engineering vision for its financial systems. Reporting to the CFO, this role involves defining a technical strategy and roadmap to modernize fragmented financial systems and data. The Head of Financial Systems Engineering will lead, coach, and grow a team of specialists, establish data quality standards, and contribute to architecture decisions for ledgers, subledgers, and integrations. Key responsibilities include improving reconciliation processes, enhancing data lineage, and ensuring the reliability and auditability of financial operations, particularly in the context of crypto and traditional finance integration. Experience in software engineering, technical leadership, data engineering, distributed systems, and financial controls is essential.
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.
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.
Kraken is on a mission to build the most trusted bridge between crypto and traditional finance. The Financial Systems Engineering team connects activity across products, payments, banking, and digital assets to the data, ledgers, controls, and applications Finance relies on. Our engineers bring expertise in data engineering, complex transaction flows, financial systems, and reconciliation. We partner with Treasury, Accounting, Tax, FP&A, Product, Risk, Security, Compliance, and platform engineering to make financial data reliable, explainable, and auditable.
The opportunity
Report to the CFO and lead the engineering vision for Kraken’s financial systems, translating Finance priorities into a clear technical strategy and delivery roadmap
Assess the current landscape, including fragmented data, processes, and technical debt. Define a target architecture and phased transformation plan based on evidence, business needs, and sound engineering judgment
Lead, coach, and grow a team of specialists across financial systems, data engineering, integrations, and ledger-related services. Establish clear ownership and develop technical leaders
Set standards for the completeness, quality, lineage, and ownership of financial data, from source events through transaction and balance records, reconciliation, accounting, and reporting
Contribute to architecture decisions for ledgers, subledgers, financial data models, APIs, and integrations across fiat and crypto activity. Determine what should be standardized and where distinct product flows need governed treatment
Partner with Accounting and Treasury to improve account and legal entity attribution, financial controls, reconciliation, exception handling, and the traceability of records across internal and external systems
Lead modernization and migration without disrupting close, reporting, fund movements, or other critical Finance operations. Define validation checkpoints and criteria for retiring legacy processes and systems
Establish end-to-end testing, documentation, observability, release controls, and incident response practices that account for the financial impact of upstream changes
Partner with Product, platform engineering, Risk, Security, Compliance, Tax, and Legal on system boundaries, access controls, resilience, regulatory needs, and auditability
Evaluate build, buy, and integration options; review consequential designs; and communicate architectural decisions, sequencing, risks, and tradeoffs clearly to Finance and Engineering leaders
What you will tackle first
In your first year, you’ll build the foundations for a more reliable, scalable Finance architecture:
Move key reconciliations from a monthly to a daily cadence, with clear ownership and a process for resolving exceptions
Reduce the time needed to find the root cause of reconciliation breaks from weeks to days
Map and validate the source tables and transformations that actually feed financial statements, establishing lineage and ownership
Complete the UAT data lake connections needed to test financial data flows end to end before changes reach production
What you bring
Significant software engineering and technical leadership experience, including leading experienced teams through complex financial systems or data architecture change
A strong track record of hiring, coaching, and developing specialists while creating clear ownership, high engineering standards, and effective cross-functional partnerships
Deep understanding of ledgers, subledgers, double-entry concepts, reconciliation, settlement, and the path from an operational event to an auditable financial record
Experience with crypto or digital asset infrastructure and the challenges of connecting on-chain activity, internal balances, custody or wallet flows, and traditional financial systems
Strong technical judgment in distributed systems, data engineering, APIs, event-driven processing, and integrations across complex platforms
Experience defining a target architecture and delivering a transformation roadmap across fragmented or legacy systems while sustaining production reliability
Experience designing for data completeness, accuracy, lineage, reconciliation, access control, and auditability
Sound judgment in production operations, including incident response, monitoring, debugging, change management, and reliability improvements
Ability to partner with senior Finance and Engineering leaders and translate financial, operational, and control needs into a practical engineering roadmap
Ability to lead experts and make informed architecture decisions without needing to be the deepest specialist in every domain; clear communication of priorities and tradeoffs to executives and technical teams
Experience with Rust, TypeScript/Node.js, or Python; finance applications such as NetSuite, Kyriba, or BlackLine; and SOX or SOC control environments is valuable
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Our commitment
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
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Sample Kraken interview questions
- 1
Maximum Subarray Sum Find the maximum subarray sum in an integer array. Input: nums = [-3,-4,-1,-2] Output: -1 Explanation: Kadane's algorithm correctly identifies that the single isolated element -1 provides the highest possible sum.
technicalmedium - 2
Sort a String by Frequency Sort a string by the frequency of its characters. Input: s = "cccaaa" Output: "cccaaa" or "aaaccc" Explanation: Both 'c' and 'a' appear three times, so sorting them by descending frequency keeps them grouped equally.
codingmedium - 3
Clone an Undirected Graph Clone an undirected graph. Input: adjList = [[]] Output: [[]] Explanation: Creates a new, deeply cloned graph containing only one single node with zero connected neighbors.
codingmedium - 4
Lowest Common Ancestor on an N-ary Tree Find the lowest common ancestor on an N-ary tree. Input: root = [1,null,2,3,4], p = 2, q = 3 Output: 1 Explanation: Both nodes 2 and 3 are direct children of the root node 1, making 1 the lowest common ancestor.
codingmedium - 5
Iterator over a Binary Search Tree Implement an iterator over a binary search tree. Input: root = [7,3,15,null,null,9,20], calls: next(), hasNext(), next() Output: 3, TRUE, 7 Explanation: The iterator yields the smallest value (3), confirms more nodes exist, then properly yields the next in-order value (7).
codingmedium
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