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dataroles

Experienced Quant Developer

Pwc (Crm Experienced Careers Site) Open
London Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Pwc (Crm Experienced Careers Site). London · full-time · no salary stated · we estimate £70,750–£131,900.

Estimated pay

Pwc (Crm Experienced Careers Site) has not published a salary for this role. The figure below is our estimate, not theirs.

£70,750 – £131,900
What the middle half of mid-level data science roles in London paid, among postings that did state a salary.
Worked out from 8 postings that stated pay, median £91,250. Last updated Oct 26, 2026.
RoleData Science
SeniorityMid-level
LocationLondon
EmploymentFull-time
PostedSep 9, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Maintain and expand the Python valuation platform, adding application features and services
  • Build and connect valuation and risk models, working with domain specialists on their implementation
  • Improve performance, reliability, scalability and maintainability across the platform
  • Extend the REST API, user interfaces and developer tools, including support for internal, external and suitable AI-enabled models
  • Set architecture and design direction, and establish coding standards and engineering practices

What you bring

  • Advanced Python engineering experience gained in a professional or academic setting
  • Experience building, testing and maintaining production software, including work in large, complex codebases
  • Strong knowledge of software architecture, design patterns and engineering practices
  • Practical experience with Git, Unix or Linux, testing frameworks and CI/CD
  • An advanced degree in a related technical field, or equivalent professional experience, plus an understanding of quantitative models

Who this fits

This individual-contributor role suits a developer who can work with complex production code and collaborate with quantitative specialists. The role is based in London and involves working from the office, home and client sites, with travel of up to twenty percent. Visa sponsorship is available.

From the employer

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

TRS Consulting

Management Level

Senior Manager

Job Description & Summary

About the Role:

As a Quant Developer within the team, you will play a key role in the architecture, development, and maintenance of our Python-based valuation platform. You will contribute to the design and delivery of high-quality software solutions that support the valuation and risk management of financial instruments. This is an individual contributor role requiring strong Python software engineering skills, experience working with complex codebases, and an appreciation of the quantitative models that underpin financial applications.

What your days will look like:

  • Maintaining and extending an existing Python codebase.
  • Designing, developing, and delivering new application features and services.
  • Implementing and integrating quantitative valuation and risk models.
  • Improving system performance, reliability, scalability, and maintainability.
  • Enhancing user interfaces and developer tooling.
  • Maintaining and extending a RESTful API server application.
  • Supporting the integration of internally developed and third-party models, including AI-enabled solutions where appropriate.
  • Driving software architecture, design decisions, coding standards, and engineering best practices.

This role is for you if:

  • You have advanced Python software engineering experience gained in industry or academia.
  • You have experience designing, developing, testing, and maintaining production-quality software.
  • You are confident working with large, complex codebases.
  • You have a strong understanding of software architecture, design patterns, and engineering best practices.
  • You have experience with Git, Unix/Linux environments, testing frameworks, and CI/CD practices.
  • You possess strong analytical and problem-solving skills with excellent attention to detail.
  • You understand mathematical or quantitative models and can work effectively with domain specialists to implement and support them.
  • You hold an advanced degree in Computer Science, Software Engineering, Mathematics, Physics, Engineering, or a related field, or have equivalent professional experience. This includes international candidates who qualify through experience in their home country.

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Creativity, Credit Risk Assessment, Credit Risk Management, Credit Risk Mitigation, Credit Risk Model Development, Credit Risk Modeling, Credit Risk Monitoring, Data Analysis, Embracing Change, Emotional Regulation, Empathy, Financial Audit, Financial Budgeting, Financial Data Mining, Financial Forecasting, Financial Management, Financial Market, Financial Modeling, Financial Planning {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

No

Job Posting End Date

October 28, 2025

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.