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- Tasks: Lead the development of quantitative tools and models for asset management.
- Company: Join Phoenix Group, a leading FTSE 100 retirement business.
- Benefits: Enjoy a competitive salary, generous leave, and flexible working options.
- Why this job: Make a real impact in a fast-paced, innovative environment.
- Qualifications: Degree in a quantitative field and strong Python skills required.
- Other info: Diverse team culture with excellent career growth opportunities.
The predicted salary is between 65000 - 85000 ÂŁ 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: From ÂŁ65,000 - ÂŁ85,000 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 are pleased to announce an incredible, new career opportunity to join us here at Phoenix Group as a Quantitative Engineer to join our Quantitative Engineering team within the Retirement Solutions and Asset Management (RSAM) function. Joining at this stage you will be working in a fast paced and greenfield environment to lead the embedding of quantitative tools across Phoenix.
The role will require engagement with various teams across RSAM, Actuarial, Finance, and Compliance helping stakeholders identify core quantitative capabilities that can leverage our Python based Beacon software platform, and define a clear delivery strategy to implement and embedding quant tools, reports and applications that provide a single version of truth for analytics related to asset management portfolio.
We’re Phoenix Group, we’re a long-term savings and retirement business. We offer a range of products across our market-leading brands, Standard Life, SunLife, Phoenix Life and ReAssure. Around 1 in 5 people in the UK has a pension with us. We’re a FTSE 100 organisation that is tackling key issues such as transitioning our portfolio to net zero by 2050, and we’re not done yet.
Context – RSAM Quant Engineering Team
Quantitative Engineering is a newly established team within Phoenix Asset Management. Working side by side with our portfolio managers, actuaries, and structurers, Quants develop tools and models that enable us to make agile informed decisions to optimize our assets and risk and identify market opportunities.
Key Responsibilities
- Enable the Equity Release Mortgage (ERM) Quant Engineering team to accelerate its delivery through partnering with various teams across RSAM, Actuarial, Finance, and Compliance to deliver tools, applications and reports that enable better assessment and monitoring of risk, robust valuations, faster and more efficient calculation of capital, and end users to efficiently use the data, including robust technical and user documentation.
- Ensure that the outputs are of the utmost accuracy and reliability through development of automated tests, supporting quant team’s own manual testing, supporting user acceptance testing, and supporting Compliance model validation.
- Understand the data, strategy, tooling and workflows within Phoenix and use this to ensure ERMs are modelled and valued correctly.
- Ensure the framework under which the Quant team builds and delivers is operating under appropriate controls.
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 and keep moving forward.
- Strong analytical, quantitative, and problem-solving skills.
- A team player with excellent communication skills.
Qualifications
- University Degree or ideally Masters’ Degree or higher in Mathematics, Statistics, Finance, Actuarial Science, Engineering, Physics, or a related quantitative field.
Knowledge & Experience
Essential
- Strong Python coding skills.
- Proven experience in a quantitative field.
- Deep understanding of financial markets, derivatives and / or regulatory landscape.
- Ability to work independently on assigned tasks.
Desirable
- Experience with C#.
- Experience with Excel / VBA.
- Experience with Beacon, Athena, SecDB or similar.
- Knowledge of the UK life insurance regulatory landscape including Solvency II.
- Knowledge of Equity Release Mortgages modelling.
- Cloud development experience (. AWS / Azure).
- Knowledge of asset management and BPA business.
- Familiarity with Software Development Lifecycle, controls, developing tests, and development best practice.
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.
Quantitative Engineer employer: Phoenix Group Holdings
Contact Detail:
Phoenix Group Holdings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineer
✨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 maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding financial markets. Be ready to showcase how your experience aligns with the role of a Quantitative Engineer.
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on our website and apply directly. It shows initiative and gives you a better chance of standing out in the crowd.
✨Tip Number 4
Be yourself during interviews! Phoenix Group values authenticity, so let your personality shine through while discussing your skills and experiences.
We think you need these skills to ace Quantitative Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Engineer role. Highlight your Python skills and any relevant experience in quantitative fields. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Be sure to mention your understanding of financial markets and any unique experiences that set you apart.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them! Share examples of how you've tackled complex problems in previous roles. We love candidates who can think critically and challenge the status quo.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Phoenix Group Holdings
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills, especially in Python. Be ready to discuss your previous projects and how you've applied your analytical skills in real-world scenarios. This role is all about leveraging quantitative tools, so show them you know your stuff!
✨Understand the Business
Familiarise yourself with Phoenix Group and its position in the market. Understand their products and how the Quantitative Engineering team fits into the bigger picture. This will help you answer questions more effectively and demonstrate your genuine interest in the company.
✨Prepare for Team Dynamics
Since this role involves collaboration with various teams, think of examples where you've successfully worked in a team environment. Be ready to discuss how you handle challenges and communicate with different stakeholders, as this will be key in your role.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of your interview. This could be about the team's current projects, the tools they use, or how they measure success. It shows you're engaged and eager to contribute to their goals.