Full-Time
Senior Business Systems Analyst
Finance Systems
Updated on 5/7/2026
Anthropic
5,001-10,000 employees
Develops reliable, interpretable AI systems
Compensation Overview
$205k - $265k/yr
H1B Sponsorship Available
Seattle, WA, USA + 1 more
More locations: San Francisco, CA, USA
Hybrid
Location-based hybrid policy: must be in office at least 25% of the time.
 IT & Security (1) |
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- 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience
- Deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup
- Strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development
- Translate complex business requirements into technical solutions
- Experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
- Understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting
- Excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
- Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity
- Comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
- A field relevant to the role as demonstrated through coursework, training, or professional experience
- Years of experience required will correlate with the internal job level requirements for the position
- We sponsor visas; however, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
- ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations.
- Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements
- Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment
- Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions
- Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R)
- Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations
- Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation.
- Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements
- Experience with Workday Accounting Center for complex journal automation and subledger accounting
- Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support
- Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses
- Knowledge of SOX compliance requirements and internal controls for financial systems
- Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP
- Prior experience at high-growth technology companies scaling toward IPO readiness
- Familiarity with Workday HCM and understanding of HCM-Financials integration points
- Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations
Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.
Company Size
5,001-10,000
Company Stage
Late Stage VC
Total Funding
$77.3B
Headquarters
San Francisco, California
Founded
2021
Simplify's Take
What believers are saying
- Claude for Small Business targets 36M US firms via QuickBooks and Canva integrations.
- Japan's three megabanks access Claude Mythos by May 2026 end, expanding finance revenue.
- Thomson Reuters MCP links Claude to 1.9B Westlaw documents for legal dominance.
What critics are saying
- Japan FSA's 36-entity group imposes Mythos cybersecurity audits within 6 months.
- Legal hallucinations trigger malpractice suits against Freshfields using Claude live.
- Thomson Reuters captures enterprise legal revenue, sidelining Anthropic plugins.
What makes Anthropic unique
- Anthropic prioritizes AI safety through interpretable and steerable Claude models.
- Claude integrates Model Context Protocol for grounded legal and business workflows.
- Constitutional AI framework ensures Claude aligns with human values and transparency.
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Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -3%2 year growth
↑ 1%Mozilla has discovered 271 security vulnerabilities in Firefox 150 using early access to Anthropic's Mythos Preview AI model. The findings represent a significant increase from the 22 bugs detected by Anthropic's Opus 4.6 model in Firefox 148 last month. Firefox CTO Bobby Holley said Mythos is "every bit as capable" as the world's best security researchers, whilst eliminating the need to "concentrate many months of costly human effort to find a single bug". He believes AI tools like Mythos tilt the cybersecurity balance towards defenders by making vulnerability discovery cheaper. Anthropic released Mythos Preview to a limited group of industry partners earlier this month. Mozilla CTO Raffi Krikorian argues such tools are particularly crucial for open source projects, which often rely on insufficient volunteer maintenance for security.
Anthropic's new AI model Mythos has sparked concern amongst policymakers at International Monetary Fund meetings over its potential to accelerate sophisticated cyberattacks on the global financial system. However, its developers argue the technology could provide banks with their strongest defence yet. What distinguishes Mythos is its ability to chain multiple security weaknesses into coordinated attacks, effectively automating complex cyber intrusions. This capability could significantly expand the pool of potential attackers in the near term. The model's creators emphasise a longer-term benefit: the same technology could enable banks to detect and patch vulnerabilities faster than ever, potentially shifting the balance towards defenders if widely adopted. The dual-use nature of Mythos has created both panic and optimism in boardrooms and governments regarding global financial system security.
Indian fintech companies including One97 Communications, Razorpay Software and Pine Labs are pushing Anthropic for early access to Mythos, the AI model that has raised global concerns about cyberattack risks. The firms want to test Mythos on their own systems to detect vulnerabilities following Anthropic's announcement of a limited rollout. The San Francisco-based AI developer considers the model too dangerous for wider release but major Indian financial technology companies are seeking early access to assess potential security threats to their platforms.
The US government is preparing to provide major federal agencies with access to Anthropic's new AI model, Mythos, according to a memo reviewed by Bloomberg News. Gregory Barbaccia, federal chief information officer at the White House Office of Management and Budget, informed Cabinet department officials on Tuesday that OMB is establishing protections to enable agencies to use the closely guarded AI tool. The move comes amid concerns that the powerful model could significantly increase cybersecurity risks. OMB is working to set up appropriate safeguards before rolling out access to the system across government departments.
Anthropic's new Mythos AI model is causing concern among banks, tech giants and governments over its potential implications for cybersecurity and the internet's future. The model has prompted a scramble amongst major institutions to understand its capabilities and risks. Details about the specific features raising alarms were not disclosed in the source material.