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For Companies At a Glance
- Tasks: Design and maintain financial data systems that empower investors and enhance decision-making.
- Company: Join Fiscal.ai, a leading financial data platform with a collaborative and inclusive culture.
- Benefits: Competitive salary, equity options, remote work flexibility, and growth opportunities.
- Why this job: Be part of a fast-growing startup and make a real impact in the finance industry.
- Qualifications: Strong finance background and data analysis skills; excitement for building investor-focused products.
- Other info: Work closely with leadership in a dynamic environment with excellent career advancement potential.
The predicted salary is between 72000 - 90000 £ per year.
About Fiscal.ai
Fiscal.ai is a leading research and data platform for capital markets. Combining a powerful research Terminal with modern APIs, Fiscal.ai is building the modern financial data company. The firm has raised $13M in venture backing and is headquartered in Toronto, Canada. With thousands of customers and millions of end-users through their API offerings, Fiscal.ai is building the premier financial data company in the AI era.
Why should you be part of the Fiscal.ai growth story?
- Join a supportive, high-performing team: We prioritise collaboration, inclusivity, and outcomes. No red tape, just impact.
- Work directly with leadership: No bureaucracy, just close access to the founding team.
- Flexibility and growth: We’re remote-friendly and focused on outcomes. You’ll have opportunities to grow into leadership or strategic roles.
- Mission with momentum: With strong traction and a growing customer base, this is a chance to ride the wave early.
About the Role
If you have strong financial and investing acumen and want to build a best-in-class fundamental data product, this is the role for you. This is not an engineering role. You might come from equity research, investment banking, asset management, or an accounting background. What matters is that you understand how investors actually use fundamental data and you’re excited to build the systems that deliver it.
You’ll own the logic that transforms raw public disclosures into structured, API-ready datasets powering institutional finance and investing workflows. That means designing data structures, building transformation rules, expanding coverage across markets, and owning the integrity of everything we deliver. You’ll work directly with our COO, taking full ownership of our data capture and processing systems while maintaining the rigor our clients expect.
Key Responsibilities
- Design and maintain classification systems for public financial disclosures across jurisdictions
- Build rules that transform unstructured data into normalized, queryable datasets
- Research disclosure requirements in new markets and map jurisdiction-specific nuances into our data model
- Work with LLMs to write and refine prompts, build and test logic, and iterate based on outputs
- Partner with QA and engineering to identify edge cases and validate data accuracy
- Identify coverage opportunities and prioritise based on commercial signal
- Translate internal and external feedback into strong systems
- Support leading R&D on new data capabilities and product development
Qualifications
- Deep understanding of finance and investing, and genuine excitement to build a data product for investors
- 2-5 years across accounting, finance, investing, and/or data roles
- Strong data and analysis skills with awareness of multiple accounting standards and jurisdictions
- Naturally curious systems thinker with strong pattern recognition, ability to connect the dots, and comfort with ambiguity
- Self-directed, resourceful, and a clear communicator
- Excited to work at a fast-growing startup
- CPA or CFA is an asset
Financial Data Architect in London employer: Fiscal.ai
Contact Detail:
Fiscal.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data sectors on LinkedIn. Join relevant groups, attend virtual meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your financial data projects or any relevant work you've done. This could be anything from case studies to personal projects. When you apply through our website, include this portfolio to really stand out!
✨Tip Number 3
Prepare for those interviews! Research Fiscal.ai thoroughly—know their products, mission, and recent news. Think about how your background in finance and data aligns with their goals. We want to see your passion and how you can contribute to our growth story!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. Mention something specific from your conversation to remind them of your fit for the role. It shows you're genuinely interested and keeps you top of mind as they make their decision.
We think you need these skills to ace Financial Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Financial Data Architect. Highlight your experience in finance, investing, and data roles, and don’t forget to showcase any relevant projects or achievements that align with what we’re looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your genuine excitement about building a data product for investors. Share why you want to join Fiscal.ai and how your background makes you a perfect fit for our team.
Showcase Your Analytical Skills: Since this role involves transforming unstructured data into structured datasets, be sure to highlight your analytical skills. Provide examples of how you've tackled complex data challenges in the past and the impact of your work.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Fiscal.ai!
How to prepare for a job interview at Fiscal.ai
✨Know Your Financial Stuff
Make sure you brush up on your financial and investing knowledge. Understand how investors use fundamental data and be ready to discuss specific examples from your past experience that demonstrate your expertise in this area.
✨Showcase Your Data Skills
Prepare to talk about your experience with data structures and transformation rules. Bring examples of how you've previously worked with unstructured data and turned it into something useful, as this will be key for the role.
✨Be a Systems Thinker
Demonstrate your ability to think critically about systems and processes. Be ready to discuss how you've identified coverage opportunities or improved data accuracy in previous roles, as this aligns with what they’re looking for.
✨Communicate Clearly
Since this role involves working closely with leadership and cross-functional teams, practice articulating your thoughts clearly. Prepare to explain complex concepts in simple terms, showcasing your communication skills and making it easy for others to understand your ideas.
