Case study · JPMorgan + Money.Net

Financial systems: JPMorgan and Money.Net

Derivatives portfolio management on Athena, a markets terminal built from the ground up, and the reliability habits that came out of both.

Portrait of Brenda Manrique
5 min read· Updated

Brenda Manrique spent six years inside financial infrastructure: JPMorgan Asset Management (2018–2022) as a Senior Associate software engineer, where she led frontend engineering for a derivatives portfolio-management application built on Athena; and Money.Net (2016–2018), where she joined while the new markets terminal was being created and coded its initial frontend from scratch.

JPMorgan Asset Management (2018–2022)#

She led frontend engineering for a derivatives portfolio-management application built on Athena, JPMorgan's cross-asset risk platform. That meant making the frontend architecture decisions and being the main frontend developer for that phase of the work, while also contributing across the backend and integration layers.

This is the part of finance where software is inseparable from domain logic: positions, risk, pricing, portfolio views, data quality and operational reliability.
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Frontend architecture and implementation ownership for that phase.

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Contributions across backend and integration layers.

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Java, Python, JavaScript, TypeScript and C#.

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Contributed to decommissioning a legacy Trading, Risk and P&L platform for Fixed Income.

Money.Net (2016–2018)#

She joined while Money.Net was creating a new financial-markets terminal, and coded the initial frontend from scratch. She also contributed to parts of the backend, and kept working on the product as the architecture evolved through later generations she did not build alone.

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The seed frontend, in ReactJS.

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Backend contributions with Java 8, WebSockets, gRPC and microservices.

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Python REST APIs.

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Real-time messaging including XMPP.

Market feedsStreaming servicesWebSockets / APIsReact terminalTrader / analyst

Real-time, high-volume market data, visible directly to the user.

A terminal is an unforgiving place to learn real-time engineering. If the stream stalls, nobody needs a dashboard to notice.

Before New York#

Independent projects · Jan 2014 – Aug 2015

Freelance, personal and learning projects in JavaScript and Python while preparing for graduate study and transitioning to New York.

DLYA Bantotal · Oct 2012 – May 2013

Technology developer consultant on a core-banking implementation in Peru: software built with GeneXus to close implementation gaps, support on credit-risk business issues, and Oracle database and query analysis.

Why this matters now#

Financial software trained me to care about things AI prototypes often postpone: stale data, latency, deterministic fallbacks, auditability, backwards compatibility and the cost of making a confident mistake.

A demo can skip all of it. Something people actually operate cannot.

Frequently asked questions#

What is Athena?

Athena is JPMorgan's cross-asset risk platform. Between October 2018 and August 2022, Brenda led frontend engineering for a derivatives portfolio-management application built on it, and contributed across the backend and integration layers.

Did she build the Money.Net terminal alone?

No. She joined while the new terminal was being created and coded the initial frontend from scratch, plus parts of the backend. The architecture went through later generations built by the team, and this page does not collapse those into one claim.

Are there performance numbers?

No. Throughput and latency figures for proprietary financial systems are not hers to publish, so none are claimed.

From financial systems to applied AI

The reliability questions are the same. The stack is different.

Portrait of Brenda Manrique

Brenda Manrique

Senior Software Engineer · Full-stack, financial systems, applied AI

Senior software engineer in Berlin. Previously Moody's Analytics, JPMorgan Asset Management and Money.Net. Now building applied-AI systems independently.

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