Quantitative Engineer, Asset Management job in London

London Phoenix Group

Job Ref:	300009231939791
Employer:	Phoenix Group
Sector:	Life Insurance
Qualifications:	Unclassified
Software:	Excel Python SQL VBA
Job Type:	Full Time
Salary and Benefits:	Competitive
Remote:	No
Location
Country:	United Kingdom
City:	London
Post Code:	EC4M 7AN
Map:	(Show on map)
Description
Job Description Salary and Benefits: Competitive (various roles available in the team) + 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: Permanent Reporting To: Head of Quantitative Engineering Location: 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 (i.e. Edinburgh / Wythall). Please read about Phoenix Flex here 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 Asset Management (AM) function. Joining at this early stage you will be working in a fast paced and greenfield environment to help establish the team and build the foundations of the platform. Who are we? We want to be the best place that any of our 7,800 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 Team Quantitative Engineering is a newly established team within Phoenix Asset Management. Working side by side with our portfolio managers, actuaries, and structurers, Quants will develop tools and models that enable us to make informed decisions to optimize our assets and risk and identify market opportunities. Key Responsibilities Build and maintain quantitative tools and models for the pricing, risk management, and trading of life insurance products, assets and derivatives. Build and implement new tools for the wider investment team, that provide quantitative support in decision making, asset selection, deal structuring, and understanding/monitoring of risk. Support with idea generation to identify market opportunities to improve overall business performance. Collaborate with other team members to identify and solve complex quantitative problems, while being approachable and flexible Take ownership of platform issues that affect our delivery - escalating as necessary to achieve resolution Improve existing tools and processes through automation, general code quality and efficiency, and test coverage. What are we looking for? Personal Attributes Strong analytical, quantitative, and problem-solving skills A team player with excellent communication skills The ability to sense check numbers, perform quick "back of the envelope" calculations and build intuition over results A "get things done" attitude 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 - 2+ years demonstrated experience Prior exposure to work involving pension schemes and/or life insurance Knowledge of the UK insurance regulatory landscape including Solvency II and Matching Adjustment Experience with Excel/VBA Desirable Experience with SQL Cloud development experience (e.g. AWS/Azure) Some knowledge of Investment and fixed income producs, for example derivatives, credit, interest rates and/or inflation would be valuable, but not essential Familiarity with Software Development Lifec ycle 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. Find out more about #LifeAtPhoenix Guide for Candidates: thephoenixgroup.pagetiger.com/guideforcandidates Find or get answers from our colleagues: www.thephoenixgroup.com/careers/talk-to-us #LI-SC1

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London Phoenix Group

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