Company
Phoenix Group Holdings
Phoenix Group Holdings
£75,000 – £120,000
Salary & Benefits: £75,000 – £120,000 (subject to experience)+ asset management bonus, excellent pension scheme, private medical insurance, electric vehicle scheme, 38 days holiday incl. Bank Holidays, plus 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more!Job Type: PermanentReporting To: Head of Quantitative EngineeringLocation: This role will ideally be based in our London office, with time spent between home and the office, and some travel between our Phoenix offices (Edinburgh / Wythall). We are pleased to announce an incredible, new career opportunity to join us here at Phoenix Group as a Quantitative Reporting Engineer to join our Quantitative Engineering team within the Asset Management (AM) function. Joining at this early stage you will be working in a fast paced and greenfield environment to lead the technology build for a new reporting function within Asset Management.The reporting engine will ingest data from a internal and external sources, in multiple different formats, and use this to update a golden source of data, asses performance against benchmarks, and automatically create a number of accurate and timely reports to end users. It will be built using Python, on the Beacon platform.Who are we?We want to be the best place that any of our 6,600 colleagues have ever worked. We’re the UK’s largest 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 – AM Quant TeamQuantitative 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 Design, build and maintain quantitative reporting engine Structure a master database/object store for relevant data Use market data to construct relevant benchmarks and indices for verification Build robust pipelines for ingestion of data in a variety of formats and sources Assess quality, reliability and robustness of data Understand how to use and present the data to enable end users to make accurate and timely decisions Build and distribute reports in a variety of formats and frequency Work in a regulated environment to document code and processes, and architectures. Collaborate with other team members to identify and solve problems, while being approachable and flexible Work in an agile way to overcome challenges and accelerate delivery of the engine Take ownership and responsibility for the reporting engine and any issues that affect our delivery – escalating as necessary to achieve resolution Ensure that data and reports are of the utmost accuracy and reliability What are we looking for?Personal Attributes A “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 in Mathematics, Statistics, Finance, Actuarial Science, Engineering, Physics, or a related quantitative field Knowledge & Experience:Essential Python programming experience, at least 2+ years demonstrated experience Experience in developing reporting tooling Database experience Knowledge of the UK life insurance regulatory landscape including Solvency II Experience with Excel / VBA Desirable Experience with Beacon, Athena, SecDB or similar Cloud development experience (. AWS / Azure) Knowledge of asset management business, indices and benchmarks Familiarity with Software Development Lifecycle and development best practice The ideal candidate will come from the asset management industry and have worked in a professional Python development environment. 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 #LifeAtPhoenix Guide for Candidates:
London
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