{"id":3099460,"url":"https://alion.io/job/pwc-uk-experienced-quant-developer","title":"Experienced Quant Developer","company":{"id":714797,"name":"PwC UK","domain":"pwc.co.uk","url":"https://alion.io/company/pwc-6","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":123,"ghost_share":0,"stale_share":0.683,"repost_share":0.016,"time_to_fill_p50_days":17,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Edinburgh, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":154000,"period":"year","method":"role_country_seniority_unknown","sample_n":202},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-11-07T00:51:41Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"Line of Service\nAdvisoryIndustry/Sector\nNot ApplicableSpecialism\nTRS ConsultingManagement Level\nSenior ManagerJob Description & Summary\nAbout the Role:\nAs aQuant Developerwithin 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.\nWhat your days will look like:\nMaintaining and extending an existing Python codebase.\nDesigning, developing, and delivering new application features and services.\nImplementing and integrating quantitative valuation and risk models.\nImproving system performance, reliability, scalability, and maintainability.\nEnhancing user interfaces and developer tooling.\nMaintaining and extending a RESTful API server application.\nSupporting the integration of internally developed and third-party models, including AI-enabled solutions where appropriate.\nDriving software architecture, design decisions, coding standards, and engineering best practices.\nThis role is for you if:\nYou have advanced Python software engineering experience gained in industry or academia.\nYou have experience designing, developing, testing, and maintaining production-quality software.\nYou are confident working with large, complex codebases.\nYou have a strong understanding of software architecture, design patterns, and engineering best practices.\nYou have experience with Git, Unix/Linux environments, testing frameworks, and CI/CD practices.\nYou possess strong analytical and problem-solving skills with excellent attention to detail.\nYou understand mathematical or quantitative models and can work effectively with domain specialists to implement and support them.\nYou 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.\nWhat you’ll receive from us:\nNo 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. 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