Role Title: – Investment Banking – M&A Advisory. Role Type: Contractor Location: Remote micro1 is engaging Investment Banking – M&A Advisory. to contribute to a customer's project focused on enhancing financial data analysis, modeling, and industry research processes.
Remote AI Expert - Finance Jobs in Canada 2026
147 remote jobs open to candidates in Canada in AI Expert - Finance. Updated daily.
Role Title: Quantitative Rates Researcher Role Type: Contractor Location: Remote micro1 is engaging Quantitative Rates Researchers to contribute to a leading investment bank’s algorithmic trading platform project.
Role Title: Rates trader Role Type: Contractor Location: Remote micro1 is engaging experienced Rates traders to participate in a cutting-edge AI-driven project for a leading investment bank’s algorithmic trading desk.
Role Title: Financial Expert Role Type: Contractor. Location: Remote micro1 is engaging Financial Experts to participate in a customer-facing project focused on the evaluation and enhancement of AI agents within financial domains.
AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring quantitative researchers and quant analysts as contractors to author and solve the analysis problems those evaluations run on, drawn from your own work:…
This is a talent pool application, not a role with an immediate start date. We are building a vetted network of finance professionals ahead of upcoming project demand.
Mercor is recruiting Economics Research Experts for a research project with a leading foundational model AI lab. You are a great fit if you: Have at least 2 years of experience working for top institutions, leading economics research (e.g.
Role Title: Finance Specialist - Executive Presentation Review Role Type: Contractor Location: Remote (US, UK or CAN micro1 is engaging Finance Specialist to contribute to a customer's project focused on elevating the quality, impact, and clarity of financial presentations and…
Models manage cash on paper and miss what keeps a company solvent: a liquidity forecast that ignores timing, an FX hedge that leaves the real exposure open, a funding plan that assumes the market is always there.
Models talk about markets like a textbook and trade like they've never been filled: a strategy that ignores the bid-ask, a hedge that's wrong by a Greek, position sizing with no respect for slippage or where the liquidity actually is.
Models love a founder's story and can't tell a real market from a rounded-up one: a TAM built by multiplying optimism, traction metrics that don't cohort, a moat that's really just a feature.
Models write an equity note that sounds like the sell side and falls apart under a covering analyst's read: an estimate that ignores guidance, a target price with no bridge from the model, a thesis that forgets the last three quarters actually happened.
Models give financial advice that sounds reassuring and quietly ignores the client: a tax-blind withdrawal plan, an allocation that forgets the time horizon, an estate suggestion that would fall apart in probate.
Models approve a borrower that any underwriter would flag: cash-flow coverage computed off the wrong line, covenants that don't bite, a rating that ignores where we are in the cycle. Someone has to find the default risk hiding in a clean-looking spread, and that someone is you.
Ask a model to build a forecast and it returns a clean-looking model whose drivers do not connect, whose assumptions defy the business, and whose variance bridge does not tie to actuals. The formatting is immaculate; the logic leaks.
Models build an LBO that returns a tidy IRR and skip the parts that make or break a deal: a debt schedule that ignores the covenants, an entry multiple with no exit story, diligence that takes management's projections at face value.
Models write a pitch deck's worth of confident deal analysis and miss what a deal team lives on: a comps set stuffed with the wrong peers, an accretion/dilution model that ignores the financing, a synergy number pulled from thin air.
Models can recommend a portfolio that reads well and quietly breaks every rule that matters: concentrated bets dressed as diversification, a Sharpe ratio computed on overlapping exposures, position sizing that ignores liquidity and drawdown.
Models handle textbook finance fine and fall apart on the real thing: mispriced risk, subtly wrong derivations, and models that ignore market microstructure.
Models can build a three-statement model that looks clean and still get the mechanics wrong: a balance sheet that doesn't balance, working capital that flows the wrong way, a circular reference silently zeroed out.
As a Finance Domain Expert, you will collaborate with AI and engineering teams to improve the performance of financial AI models by defining workflows, creating evaluations, curating data, and providing domain-specific insights.
The research teams behind the best-known AI models come to Mercor for financial judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.
The research teams behind the best-known AI models come to Mercor for investment management judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.
The research teams behind the best-known AI models come to Mercor for investment banking judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.