Website:
claritytechnologies.tax
Job details:
DisclosureIQ is the tax intelligence platform from Clarity Tax Technologies. We are automating ASC 740 income tax provision, state return-to-provision, and ASU 2023-09 disclosure reporting for corporate tax departments and advisory firms. You will own the modeling and semantic layer that turns raw ERP data, multi-jurisdictional tax rules, and regulatory knowledge into audit-ready analytics.
What you will do
• Build statistical and ML models for ETR decomposition, trial-balance anomaly detection, and cross-period variance explanation.
• Design and operate a tax knowledge graph — jurisdictions, entities, rules, citations — queried through SPARQL and surfaced into provision workflows.
• Contribute to RAG pipelines and agent training over IRC, state statutes, FASB guidance, and client workpapers, with citation integrity and eval harnesses.
• Translate ASC 740 logic into quantitative frameworks alongside tax domain leads: deferred tax, valuation allowance, state apportionment, uncertain tax positions.
• Own the canonical transformation layer across PostgreSQL/Neon (diq_core through diq_analytics) with dbt, provenance, and replay safety.
• Build Power Query and Power BI artifacts for client-facing analytics; automate operational glue with Google Apps Script where it saves cycles.
• Back-test and validate against real client data at Coinbase-style scale before any production release.
What you bring
• 5 to 7 years building production models and data pipelines end to end.
• Finance or accounting background is required — you can read a 10-K, a trial balance, and a state return without a translator.
• Python, PostgreSQL (Neon a plus), SPARQL, Power Query, Power BI, Google Apps Script.
• Hands-on experience with semantic web, knowledge graphs, RAG, and agent training or evaluation.
• Self-starter. You scope, ship, and validate without a large team around you.
Location: Bengaluru or Chennai. Equity + competitive base.
Click on Apply to know more.