At a Glance
- Tasks: Build and enhance annuity pricing models using cutting-edge tech like AWS and Python.
- Company: Join Standard Life, a leader in retirement solutions with a focus on innovation.
- Benefits: Enjoy a competitive salary, 38 days annual leave, private medical cover, and flexible working options.
- Other info: Be part of a diverse team that values curiosity, connection, and accountability.
- Why this job: Make a real impact in a fast-paced environment while growing your skills and career.
- Qualifications: Degree in Computer Science or related field; programming experience in Python is essential.
The predicted salary is between 55000 - 75000 £ per year.
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.
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.
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 models 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.
Junior Quantitative Engineer in London employer: 107632 Capital Markets Operations
At Standard Life, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our employees benefit from comprehensive growth opportunities, competitive remuneration, and the chance to make a significant impact in the regulatory landscape. Located in a vibrant city, we offer a dynamic environment where your contributions are valued and recognised, making it an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
107632 Capital Markets Operations Recruitment Team
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