Junior Quantitative Engineer

Phoenix Group

. Build, maintain, enhance, and document Individual and Bulk Purchase Annuity cashflow and pricing models .

Posted 10/9/2026full-timeLondon • United KingdomJunior💰 £50,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Annuity Pricing, Valuation, and Solvency II Capital, utilizing programming skills in Python and experience with AWS and Snowflake for analytics. Strong analytical and problem-solving abilities are essential for enhancing cashflow and pricing models while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Annuity PricingPython ProgrammingAWS DevelopmentSolvency II KnowledgeAnalytical Problem Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cashflow ModellingPricing ModelsStatistical AnalysisData IntegrationSoftware Development Lifecycle (SDLC)Quantitative Tools DevelopmentExperience AnalysisReinsurance StructuringLongevity Experience AnalysisMulti-layer Solutions

Soft Skills

Excellent CommunicationProactive AttitudeTeam PlayerAnalytical SkillsProblem Solving

Tools & Technologies

AWSPythonRustBeaconSnowflake

Industry Keywords

Individual AnnuitiesBulk Purchase AnnuitiesLife InsuranceIFRS17Standard Life Data

Tech Stack

Tools & technologies

AWSPythonRustSDLC

About the role

Key responsibilities & impact

Build, maintain, enhance, and document Individual and Bulk Purchase Annuity cashflow and pricing models
Contribute to modelling methodology decisions
Apply models to Annuity Pricing, Valuation, Reinsurance & Structuring, Longevity Experience Analysis, and Solvency II Capital
Develop and integrate services using AWS, Python, Rust, Beacon, and Snowflake for analytics and reporting
Follow the defined software development lifecycle (SDLC)
Monitor, improve, and support platform performance
Proactively identify and resolve issues to maintain reliability
Understand Standard Life data, strategy, tooling, and workflows to maximize platform value
Collaborate with engineers, portfolio managers, actuaries, structurers, and stakeholders
Embed quantitative tools, reports, and applications that provide a single source of truth for analytics across asset management portfolios

Requirements

What you’ll need

University Degree in Computer Science, Mathematics, Statistics, Finance, Actuarial Science, Engineering, Physics, or a related field
Ideally a Masters’ Degree or higher in a related field (desirable, not required)
Product knowledge: Individual Annuities and Bulk Purchase Annuities
Programming experience, e.g. Python
Excellent problem solving within an analytical field
Knowledge about Life Insurance: Solvency II, IFRS17
Proactive, self-motivated and “get things done” attitude
Comfortable using experience to challenge the status quo
Strong analytical skills and ability to multi-task across platforms and multi-layer solutions
Excellent communication skills
Team-player mindset

Benefits

Comp & perks

Discretionary bonus
Private medical cover
38 days annual leave
Excellent pension
12x salary life assurance
Career breaks
Income protection
3x volunteering days
Part-time, job-share and other types of flexibility