Pricing Innovation Analyst job in Birmingham at Legal General Resources Ltd

Pricing Innovation Analyst

Company: Legal & General Resources Ltd

Location: Birmingham UK

Date Posted:Dec 29, 2017

Job title:                                Pricing Innovation Analyst Location:                               BirminghamHours:                                    Full-timeWage:                                   £49,600 - £78,400 per annum Work Pattern:                      Monday – FridayEmployer:                             Legal & General Resources Ltd(L&G)Duration:                               Permanent Date advert posted:            29 December 2017Closing date:                        26 January 2018 Key responsibilitiesThe key responsibilities involve the following: - identifying existing and new data sources with potential predictive power for claims modelling and underwriting. Building and delivering specialist actuarial models following appropriate implementation approval.  Planning and managing the development and integration of systems and processes to deliver change;- identifying existing and new data sources with potential predictive power for behavioural modelling.  Delivering models following appropriate implementation approval, often at Executive level;- leading the development L&G’s capability to build and deploy machine-learning algorithms based on existing and new insights developed within the team.  Working towards delivery of a real-time pricing capability that enables automation of some elements of the process;- developing new and innovative approaches with teams across GI(e.g. Claims, Marketing and Fraud) to use cutting-edge analytics to build insight, allowing them to get the most value out of their data and make improvements to processes and customer service;- working effectively with the Technical Pricing team, assisting with the refresh of (generalised linear) models and sharing knowledge of machine learning techniques and building capability within the team.  Offering advice and guidance to coach and develop others so that specialist modelling skills may be developed and deployed throughout the business;- submitting and presenting papers on work carried out, insight gained and recommended proposals to relevant working parties and boards. Representing the team as the key contact for machine learning and pricing innovation within GI.  Establishing and maintaining contacts internally and externally to ensure L&G remains at the forefront of actuarial pricing and analytics;- defining, developing and maintaining appropriate documentation to demonstrate compliance with procedures and actuarial controls to monitor and manage risk; and- reflecting the needs and expectations of customers aligned to L&G’s Customer Experience and TCF Policy. Essential Qualifications The successful candidate must have the following qualifications: - UK full actuarial qualification or evidence of comparable andsubstantial experience as an actuarial specialist working in a financial services firm. Essential Skills & Experience The successful candidate must have the following skills and experience: - knowledge and relevant experience of insurance actuarial modelling techniques, statistical modelling, insurance profitability drivers;- knowledge and relevant experience of source insurance datasets and manipulation of these.- knowledge and relevant experience ofIT data systems, database software (eg SQL), MS-Office in particular Excel and Visual Basic;- knowledge and relevant experience ofrisk & Underwriting: Detailed understanding of pricing and underwriting techniques;- knowledge and relevant experience ofthe wider financial services market;- good knowledge of competitor products, pricing and performance;- understanding and relevant experienceof product features, the sales and underwriting process and associated risks;- understanding of the policy administration and claims handling processes;- awareness of L&G Insurance, LGAS and related group functions. Good knowledge of L&G Board & Committee structure, policies, procedures and controls would be advantageous;- evidence of creative mindset and solution-focus in an analytical context;- relevant experience inanalysis, statistical inference, GLMs, machine learning techniques; and- relevant experience incoding in SAS, R, Python or similar, delivering predictive algorithms in financial or operational contexts. Date advert posted:           29 December 2017Closing date:                      26 January 2018   View full job description
JobCentre Plus 1 year ago
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