Junior Quantitative Engineer

• 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
  
• 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
  

• 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)

• University Degree or ideally Masters' Degree or higher in Computer Science, Mathematics, Statistics, Finance, Actuarial Science, Engineering, Physics, or a related field
  

Salary and benefits: £50,000+ (subject to experience) 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.

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.

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.

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.

• 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
  

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