Quantitative Engineer

Job Type:  Permanent

Location: 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. You can read more about Phoenix Flex here.

Salary and benefits:  From £65,000  - £85,000 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: 5th December 25

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
  • End users to efficiency 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

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 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 (e.g. 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.  

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