Senior Quantitative Engineer joining Phoenix Group's Quantitative Engineering team within the Retirement Solutions and Asset Management function. Leading the embedding of quantitative tools across Phoenix in a fast-paced and greenfield environment.
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 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 derivative data, strategy, tooling and workflow within Phoenix and use this to ensure derivative positions are modelled and valued correctly
Identify EUC and models in wider functions where effective solutions can be developed in Beacon, then design and implement an end-to-end capability in partnership with each area to improve or retire EUCs all-together
Continuously tune-in to strategic initiatives across the Capital Markets team to help prioritise deliveries to align in materiality to business objectives.
Enhance the framework under which the Quant team builds and delivers is operating under appropriate controls
Collaborate with other team members across the wider Quant Engineering to identify and solve problems, while being approachable and flexible
Requirements
University Degree or ideally Masters’ Degree or higher in Mathematics, Statistics, Finance, Actuarial Science, Engineering, Physics, or a related quantitative field
Expert level Python coding experience
Track record of developing, executing and embedding new capabilities in fast moving functions
Comprehensive understanding of financial markets, regulations, and industry trends
Extensive experience in a financial or quantitative role
Experience with C# (desirable)
Experience with Beacon, Athena, SecDB or similar (desirable)
Experience with Excel / VBA (desirable)
Knowledge of the UK life insurance regulatory landscape including Solvency II (desirable)
Cloud development experience (e.g. AWS / Azure) (desirable)
Knowledge of asset management and BPA business (desirable)
Familiarity with Software Development Lifecycle, controls, developing tests, and development best practice (desirable)
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