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T. Rowe Price

Senior Quant Developer

London
Posted about 20 hours ago
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About the Role

The T. Rowe Price Fixed Income Technology team is looking for a Senior Quant Developer with banking / financial services experience; specifically coming from a Front Office, quantitative background with a working knowledge of Fixed Income markets, securities, and analytics. The successful candidate will help expand the team in Baltimore/London to support the development and delivery of quantitative research and models in partnership with our Fixed Income Quantitative Research Analysts (Quants).

This is a hands-on, full development lifecycle role - from gathering requirements to proposing and delivering solutions - which provides an opportunity to solve complex business, logic, data, and technical challenges. This is a unique role where you can leverage both your exceptional technology skills and your financial knowledge. You will be called upon to leverage your technical and analytical expertise to solve both computational and data-related problems. You will work with smart, talented people across our business.

We will expect you to be agile, to lead and to think outside the box. In return, we will give you challenging work that has a meaningful impact as well as opportunities to learn and grow and operate within a collaborative culture that encourages every member of our team to bring their point of view to the table—because that is how we help our clients succeed.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

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Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What You’ll Do

  • Partner independently with Quants to translate research into production-ready models that inform the investment decision-making process.
  • Work on Quant models in rates, credit & FX.
  • Support the research-to-production lifecycle — from validation and deployment through ongoing production support.
  • Architect and improve proprietary models and production systems for reliability, resiliency, scalability, and performance.
  • Lead code and model reviews, and own the operational health of your systems — monitoring, alerting, incident response, and technical debt.
  • Operate as a hands-on individual contributor — leading work streams within broader projects, and a small team when a specific project calls for it.

Tech you will work with

  • Python
  • AWS
  • Docker
  • SQL
  • Gitlab CI/CD

Minimum Qualifications

  • Advanced degree in a quantitative field (Computer Science, Mathematics, Physics, Engineering, or Financial Engineering).
  • 5+ years of progressive software engineering experience.
  • Front-office software development experience within Asset Management, a Hedge Fund, an Investment Bank, or FinTech.
  • Advanced Python, and proficiency on Linux with common scripting languages.
  • Strong analytical skills, including working with and analyzing large data sets.
  • Strong grasp of testing approaches, with a focus on performance and accuracy.
  • Experience delivering in an Agile environment.

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Preferred Qualifications

  • Working knowledge of Fixed Income markets and securities (focus on cash bonds/rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01).
  • Advanced mathematical knowledge (e.g., statistics, time-series analysis, asset-pricing theory, optimization algorithms).
  • Strong knowledge of one or more SQL / NoSQL databases.
  • Experience building containerized applications and deploying to cloud (AWS, GCP, Azure, or similar).
  • Experience with web-based development and data visualization for large, complex data sets.
  • Familiarity with fixed income data sources (e.g., Bloomberg, ICE, FINRA TRACE).

Work Flexibility

This position is eligible for hybrid working with up to three days per week from home.

About T. Rowe Price

T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on–now, and over the long term.

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Skills

Python
AWS
Docker
SQL
Gitlab CI/CD
Fixed Income Analytics
Quantitative Modeling
Linux
Agile Methodology
Data Analysis
Risk Analytics
Curve Construction
Time-series Analysis
Asset-pricing Theory
Optimization Algorithms
Containerization

Location

London, England, United Kingdom

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