I am Lead Product Manager for Portfolio Optimization at Quantile Technologies (an LSEG business). I ship production AI agents and a reusable human-supervised architecture across enterprise financial workflows. A compression setup agent collapsed a 3.5-hour expert setup bottleneck to 8 minutes and scaled run volume 3× at constant headcount. An incident triage agent returned 750+ senior engineering hours a year by diagnosing incidents before they escalated. The agent platform made context, tools, actions, and evaluation reusable across five enterprise agent systems.

John Jayasankar
I build AI agents for high-stakes financial workflows.
I was Product Manager for Portfolio Optimization at Quantile. I owned discovery, strategy, launch, and GTM for optimization products used by global banks, and the work generated $XM+ in new and expansion ARR across rates, FX, and cross-currency. That meant 0→1 launches in multilateral compression, valuation/validation, and FX.
A few of the systems from this stretch: Multilateral cross-currency compression made $X.XT of previously ineligible bilateral notional available across 12 currency pairs. Dual-source valuation surfaced valuation discrepancies 48 hours earlier and cut failed-run resubmissions 91%. FX forward and NDF compression embedded margin intelligence in the optimizer and hit 100% proposal acceptance across 40+ live runs.
I was a Product Analyst at OpenGamma, later acquired by Trading Technologies. I originated and shipped a 0→1 pre-trade margin simulator used in front-office workflows. I led discovery across trading, treasury, risk, and operations, with adoption across 20+ enterprise clients. The point was simple: capital should be a decision before you execute, not a surprise after.
Summer Analyst on the FX / Rates trading desk at Wells Fargo. This is where I learned that in markets, a late failure is not an ops inconvenience. It is the product.
Research Assistant at the Wharton School, working on reporting quality and incentives. Useful training for caring about whether a number is actually true before anyone acts on it.
Summer Intern at Hartford Funds on Mutual Funds & ETFs. Early market-structure reps before I moved fully into product.
Private Equity Summer Intern at Ocean Trail Partners. Early diligence reps.
B.A. in Economics & Linguistics at Haverford College. GPA 3.9, cum laude, High Honors in Linguistics. I liked the combination: models of behavior on one side, precision about language and meaning on the other. That pairing still shows up in how I design agent boundaries.
bio
John Jayasankar is a Lead Product Manager in New York. He builds production AI agents and 0→1 financial infrastructure for complex, high-stakes workflows. At Quantile (LSEG) he has shipped agents and optimization products used by global banks. Previously he originated a pre-trade margin simulator at OpenGamma. Independently he built and shipped RideLens, Daylight, RailDrop, and Gridiron, collected on Labs.
selected systems
Setup Agent3.5h setup → 8 minutes
Incident Agent750+ eng hours returned / year
Cross-Currency34% more reduction per run
Valuation48h earlier discrepancy signal
FX & NDF100% proposal acceptance
Agent PlatformReusable agent control spine
Margin SimulatorPre-trade margin decisions
RideLensEvery ride, one comparison
DaylightYour screen, through the day
RailDropKnow when your train gets cheaper
GridironEvery game. Every drive. One view.
how I build
Agents should earn autonomy. I start with the workflow, then give the system only the context, tools, and typed actions it needs, with a human gate on anything consequential. Model capability is one layer. Autonomy grows one rung at a time, on evidence. More on the control model.
featured writing
Short theses for now. Longer notes land on Substack.
- How much intelligence is this user action worth? · Routing intelligence is a unit-economics decision.
- Autonomy is a product decision, not a model capability. · Evidence, reversibility, and control determine where an agent should be allowed to act.
- The hardest AI products are often infrastructure products. · Data quality, APIs, entitlements, and workflow design decide whether the model actually ships.
independent products
Four of the eight independent products have case writeups here. All of them are shipped live and collected on Labs.
selected outcomes
misc
- The denser version of this site, with interactive systems diagrams, lives on the full site (or press F).
- Independent products live on Labs, and on the Labs page of the full site.
- Short theses on agent economics and control are on the Writing page. Longer notes will go to Substack.
- Based in New York. Best email is under the envelope icon above (press E, Esc to hide), or just johnjayasankar@gmail.com.
- Résumé as a PDF: John_Jayasankar_Resume.pdf.
- Shortcuts: ⌘K jump · j / k sections · Y copy section · F full site · E email · T top. Section titles are deep links.
- This simple page is intentionally light: one layout, timeline, bio, and links. The full site is allowed to be heavier because the products are.