At a Glance
- Tasks: Build and maintain platforms for quantitative tools using cutting-edge tech like AWS and Python.
- Company: Join Phoenix Group, a leading FTSE 100 organisation in retirement solutions.
- Benefits: Enjoy a competitive salary, private medical cover, 38 days annual leave, and more.
- Other info: Flexible working options available; we value diversity and inclusion.
- Why this job: Make a real impact in a fast-paced environment while growing your tech skills.
- Qualifications: Degree in Computer Science or related field; Python experience is essential.
The predicted salary is between 46000 - 64000 £ per year.
This role will be based in our London office, with some travel between our Phoenix offices. Flexible working: All 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.
Closing Date: 10th December 25
We’re thrilled to offer an incredible opportunity to join Phoenix Group as a Junior Quantitative Platform Engineer within our Quantitative Engineering 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 platform that powers analytics across Phoenix. Rather than building the calculations themselves, your focus will be on designing and delivering the technology foundation that enables quants to run models and tools at scale.
You’ll work hands-on with cutting-edge technologies such as AWS services, Python, Beacon, data integration, and UI layers, to create robust, high-performing platforms 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.
Context – RSAM Quant Engineering Team: Quantitative Engineering is a newly established team within Phoenix 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 and maintain a wide range of platform components that enable quantitative tools and models to run efficiently and securely across Phoenix.
- Develop and integrate services using technologies such as AWS, Python, Beacon, and data pipelines to support analytics and reporting.
- Ensure rapid and frequent releases, leveraging CI/CD pipelines and automation to deliver value quickly and iteratively.
- Contribute to platform design and architecture discussions, focusing on scalability, resilience, and ease of integration.
- Monitor, improve, and support platform performance, proactively identifying and resolving issues to maintain reliability.
- Understand the data, strategy, tooling and workflows within Phoenix and use this knowledge to ensure our platforms are adding the highest value.
- Build high quality products that meet our quant software development lifecycle standards.
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: Python, Software development lifecycle discipline, controls, tests, and development best practice, CICD, Evidence of excellent problem solving within an analytical field.
- Desirable: C# and .NET, Experience with data, SQL, Snowflake, Experience with Beacon, Athena, SecDB or similar, Experience in the Financial Services industry, 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.
Junior Quantitative Engineer in London employer: Phoenix Group
At Standard Life, we pride ourselves on being an exceptional employer, offering a supportive and flexible work environment in our London office. With a strong focus on employee well-being, we provide generous benefits including 38 days of annual leave, private medical cover, and opportunities for career growth, all while fostering a culture of trust, accountability, and collaboration. Join us to make a meaningful impact in the Pension Risk Transfer sector and enjoy a workplace that values your contributions and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Quantitative Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Phoenix Group on LinkedIn or attend industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding AWS services. Be ready to discuss how you can contribute to building robust platforms that deliver real business impact.
✨Tip Number 3
Show your passion for technology and problem-solving during interviews. Share examples of how you've tackled challenges in previous projects, especially in analytical fields.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Phoenix team.
We think you need these skills to ace Junior Quantitative Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Junior Quantitative Engineer role. Highlight your Python expertise and any relevant projects you've worked on, especially those involving AWS or data integration.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about technology and how you can contribute to our team. Share specific examples of your problem-solving skills and how you've tackled challenges in previous roles.
Showcase Your Analytical Skills:In your application, emphasise your analytical abilities and any experience you have with quantitative tools. We want to see how you approach complex problems and your thought process behind finding solutions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Phoenix Group
✨Know Your Tech
Make sure you brush up on your knowledge of AWS, Python, and any other technologies mentioned in the job description. Be ready to discuss how you've used these tools in past projects or how you would approach using them in this role.
✨Show Your Problem-Solving Skills
Prepare examples that showcase your analytical skills and problem-solving abilities. Think of specific challenges you've faced in previous roles and how you overcame them, especially in a quantitative or technical context.
✨Understand the Business
Familiarise yourself with Phoenix Group and its mission, especially regarding their focus on retirement solutions and asset management. Being able to articulate how your role as a Junior Quantitative Engineer fits into their broader goals will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack, and the company's future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
