National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Research - Athena Analytics Developer - Associate or Vice President

JPMorgan Chase & Co.
London
1 week ago
Create job alert

Social network you want to login/join with:

Quantitative Research - Athena Analytics Developer - Associate or Vice President, London

Job Description

Quantitative Researchers (QR) are a key part of JP Morgan's markets business, developing and maintaining sophisticated mathematical models, methodologies, and infrastructure to value and risk manage financial transactions. These are developed in Athena, a next-generation risk, pricing, and trade management platform built in-house at JP Morgan.

Job summary:

As an Associate or Vice President within the Quantitative Research Athena and Analytics team, you will focus on cross-asset topics ranging from pricing library and market model design, risk frameworks, UI design, to high-performance computing.

Athena enables rapid innovation by offering Quantitative Analysts, Risk Managers, and Technologists a consistent, cross-asset portfolio of models, frameworks, and tools for building financial applications. Key technical innovations include a Dependency Graph, Hydra data store, Real-Time Risk Reporting, a robust Deal Model, and a reactive, event-driven graph called Reactive.

Job responsibilities:

  1. Develop Athena (Python) analytics software used for pricing and risk management of financial products.
  2. Design efficient, scalable, and user-friendly cross-asset frameworks to establish standards across QR streams.
  3. Optimize code and processes, providing guidance to desk-aligned quant teams.
  4. Support end users of frameworks, communicating with quant teams and technology groups.

Required qualifications, capabilities, and skills:

  • Degree in a quantitative field such as science, mathematics, engineering, or physics.
  • Outstanding problem-solving skills.
  • Excellent software, algorithm design, and development skills.
  • Passion for software design and high-quality coding.
  • Experience with pricing libraries and risk management systems.
  • Good understanding of trade lifecycle, MTM, PnL, and related processes.
  • Excellent oral and written communication skills.

Preferred qualifications, capabilities, and skills:

  • Knowledge of finance or quantitative finance.
  • Experience writing high-quality Python code.

About Us:

JP Morgan is a global leader in financial services, providing strategic advice and products to prominent clients worldwide. We value diversity and inclusion, and are an equal opportunity employer. We make reasonable accommodations for religious practices, mental health, or physical disabilities.

About the Team:

JP Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments, serving clients in over 100 countries. We provide strategic advice, capital raising, risk management, and liquidity solutions worldwide.

Job ID 300


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher - HFT

Quantitative Analyst

Quantitative Researcher - Postgraduate

Quantitative Research - Rates - Vice President

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.