Trusted by Top US Companies
The valuable hire is not a developer and not a spreadsheet-only accountant, but someone who understands finance and can automate it. That combination is rare and worth a lot.
Manual Work Eats Your Month
Repetitive pulls, merges, and reconciliations consume days. Talent who code in Python automate these so your team spends time on analysis, not data wrangling.
Finance Plus Code Is Rare
Developers do not know finance; most accountants do not code. People who do both turn finance problems into reliable automation.
Big Data Breaks Spreadsheets
When data outgrows Excel, Python handles it. Experienced talent process large datasets that would crash a spreadsheet.
Automation Reduces Error
Manual processes introduce mistakes. Well-built Python scripts run the same way every time, so the numbers are consistent.
Finance and Python Together
People who understand accounting and finance and can write the Python to automate it, a genuinely rare combination.
Practical Automation Skill
Real experience with pandas and finance data, not theoretical programming knowledge.
Time Back for Your Team
Manual processes automated so your analysts do analysis instead of data wrangling.
Reliable, Repeatable Output
Scripts that run consistently so the numbers are the same every time.
Embedded in Your Team
They work alongside your finance team on your systems and data while MAVI handles the overhead.
Frequently Asked Questions
What does MAVI finance talent with Python skills do?
They automate finance work with Python: recurring reporting, cross-system reconciliations, data pipelines, and analysis on datasets too large for Excel. They understand the finance and write the code, so the automation actually fits how your numbers work.
Is this a developer or an accountant?
Both, in one person. The value is the combination: someone who understands accounting and finance and can write Python to automate it. Pure developers lack the finance context, and most accountants cannot code.
What can they realistically automate?
Common wins include monthly reporting, reconciliations across systems, data pulls and merges from accounting tools and APIs, and analysis on large transaction datasets. Work that eats days manually often becomes a script that runs in minutes.
How quickly can one start?
In as fast as 5 days, with a 14-day risk-free trial. Onboarding focuses on your systems, data, and the manual processes worth automating first.
What does it cost?
Usually 50 to 70 percent less than a US-based finance professional with Python skills, with no benefits or recruiter fees and pay only for hours worked.