Junior Quantitative Engineer

Location: This role will be based in our London office, with some travel between our Standard Life offices. Flexible working: All of our roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working here. Salary and benefits: £55,000 - £75,000 plus discretionary bonus, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more. Closing Date : 25th Sept 2026 We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures. Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices. We offer our colleagues flexibility, trust and benefits that work for whatever life brings. In return we expect curiosity, connection, accountability and high standards. We make room for what matters - so you can bring your best, every day. We’re thrilled to offer an incredible opportunity to join Standard Life as a Junior Quantitative Engineer within our Quantitative Engineering Liability team in the Retirement Solutions and Asset Management (RSAM) function. This is your chance to work in a fast-paced, greenfield environment where you’ll help shape the quantitative liability modelling that powers analytics across Phoenix. You’ll be building and enhancing the annuity pricing and cashflow models and their methodologies and tools. You’ll work hands-on with cutting-edge technologies such as AWS services, Python, Beacon, Rust, Snowflake, and UI layers, to create robust, high-performing systems and model that deliver real business impact. You’ll collaborate with engineers and stakeholders to define and implement strategies for embedding quant tools, reports, and applications that provide a single source of truth for analytics across asset management portfolios. We release quickly and frequently, and you’ll be empowered to deliver solutions that matter from day one. If you’re passionate about technology and modelling, eager to learn, and ready to make a difference, this is the perfect role to grow your skills and career. Context – RSAM Quant Engineering Liability Team Quantitative Engineering is an established team within Standard Life Retirement Solutions & Asset Management. Working side by side with our portfolio managers, actuaries, and structurers, we develop tools and models that enable agile, informed decisions to optimise assets and liabilities, manage risk, and identify market opportunities. Key Responsibilities Build, maintain, enhance, and document a range of annuity (Individual and Bulk Purchase) cashflow and pricing models Contribute to modelling methodology decisions Understand the contribution of the models to the business including Annuity Pricing, Valuation, Reinsurance & Structuring, Longevity Experience Analysis and Solvency II Capital. Develop and integrate services using technologies such as AWS, Python, Rust, Beacon, and Snowflake to support analytics and reporting Ensure you follow the defined software development lifecycle (SDLC) Monitor, improve, and support platform performance, proactively identifying and resolving issues to maintain reliability Understand the data, strategy, tooling and workflows within Standard Life and use this knowledge to ensure our platforms are adding the highest value What are we looking for? Personal Attributes A pro-active, self-motivated, energetic and “get things done” attitude Someone who is comfortable using their experience to challenge the status-quo Strong analytical skills, able to multi-task across platforms and multi-layer solutions A team player with excellent communication skills Qualifications University Degree or ideally Masters’ Degree or higher in Computer Science, Mathematics, Statistics, Finance, Actuarial Science, Engineering, Physics, or a related field Knowledge & Experience Essential Product knowledge: Individual Annuities and Bulk Purchase Annuities Programming experience e.g. Python or Python Evidence of excellent problem solving within an analytical field Knowledge about Life Insurance: Solvency II, IFRS17. Desirable C# and .NET Experience with Rust Experience with data, SQL, Snowflake Experience with Beacon, Athena, SecDB or similar Experience using AI code generation tools appropriately Experience in the Financial Services industry Software development lifecycle discipline, controls, tests, and development best practice Cloud development experience (e.g. AWS / Azure) We want to hire the whole version of you. We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you. If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best. Find out more about working at Standard Life Guide for Candidates: standardlifeplc.pagetiger.com/guideforcandidates Find or get answers from our colleagues: www.standardlifeplc.com/careers/talk-to-us #LI-DS2 #LI-HYBRID