We're building the modeling layer for modern deal teams
Small team, high bar. We move fast, ship real product, and care about trust in numbers.
What we value
Mathematical integrity
We don't approximate financial math with language models. Convexent uses deterministic calculation engines and exports real Excel models our users can audit.
Mathematical & coding rigor
We build financial models that institutional teams stake decisions on. Precision isn't optional.
Craft & clarity
Clean code, clean outputs, clear thinking. We care about the details that build trust.
Small team energy
Everyone ships. Everyone owns problems end-to-end. No hand-offs, no waiting.
Open positions
Staff AI Engineer
New York / Los Angeles
Build the core AI systems that power financial model generation. You'll work on LLM orchestration, structured output generation, and domain-specific reasoning for M&A, LBO, and DCF models. Prior experience with large language models required; finance background a plus.
Quantitative Finance Lead
New York / Los Angeles
Define the financial logic that underpins our models. You'll architect valuation frameworks, sensitivity analyses, and scenario modeling systems that meet institutional standards. CFA, MBA, or equivalent experience in investment banking or private equity required.
Sr. Product Lead
New York / Los Angeles
Own the product vision and roadmap. You've spent time on deal teams — investment banking, private equity, or corp dev — and know firsthand what's broken. Now you want to fix it. You'll work directly with customers and shape what we build.
Sr. Forward Deployed Financial Engineer
New York / Los Angeles
Embed directly with customers to translate their Excel models, CIMs, and financial data into structured, inspectable models. You've built high-stakes financial models in investment banking, private equity, or Big 4 advisory — and you understand how deal teams actually work. Prior modeling experience required.
Don't see the perfect role?
We're always looking for exceptional people. Reach out and tell us what you'd build.