Alternative Investments
Alternative Investments: Accurate, Automated Onboarding
Quality Assurance, QA Automation

Challenge
Onboarding depended on KYC and AML checks, and investor reporting depended on return calculations. Both had to be exact — a missed check or a rounding error is a regulatory problem, not a bug report.
Onboarding pulled data from several places: investor forms, uploaded documents and external verification providers. Every handoff was a point where data could be lost, transformed incorrectly or skipped. Return calculations had grown more complex over time, with different rules for different products, and were mostly verified by comparing a few results by hand.
Investors also upload sensitive personal documents, so the way those files were stored and accessed carried its own risk.
Solution
We automated data validation across the onboarding pipeline and the calculation logic, and added security-focused checks around document handling and access.
Built automated checks for each onboarding step, confirming that data arrives complete and that KYC and AML checks run and are recorded for every investor.
Created reference data sets with known expected results and validated return calculations against them automatically, including edge cases around rounding and dates.
Tested document upload, storage and access with a security focus: who can open a document, and what happens when someone who shouldn’t tries.
Made the validation suite part of every release that touches onboarding or calculations.
Results
KYC and AML checks and return calculations are verified automatically against expected data sets, so discrepancies appear during testing rather than in investor reports.
Calculation rules can be changed with confidence, because the effect is checked against known results.
The team can show that onboarding checks ran for every investor.
Access to sensitive documents is tested regularly instead of assumed.
Technologies
Automated data validation, security testing
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