Statistical Analyst

• Company First Central
• No. of Openings 10
• Salary Not Disclosed
• Work Type on-site

Job Description :

We currently have an exciting opportunity for a Senior Statistical Analyst to join our Commercial and Marketing team in either our Salford Quays, Manchester or Haywards Heath, West Sussex office.

In this role you will explore / learn new tools (open source / commercial statistical modelling packages) and techniques (including machine learning). You will lead the building of new predictive models using linear and non-linear statistical techniques; to monitor, maintain and update existing statistical models.

You will solve key company questions, and provide analysis, insight and competitive advantage to the company by producing recommendations, analysis and reports that maximise customer satisfaction and the profitability of the company. You will also pro-actively seek ways to improve existing processes in the Retail Pricing Team, implementing and advising on analysis strategy for the company with particular focus on customer behaviour and motor insurance market dynamics.

To be successful in this role, you’ll need:

• Strong experience within the Insurance industry within a Pricing role
• Have extensive experience using Radar, R and Python

Job responsibilities:

• Produce regular business analysis reports
• Maintenance of analysis programs written in SAS, RADAR, and other software packages
• Write new analysis code using SAS, RADAR, and other software packages
• Build predictive models using SAS, EMBLEM, and other software packages
• Ad hoc project work providing analysis to the business
• Monitor, maintain, update and improve existing predictive models
• Produce timely and accurate information for management decision-making purposes
• Apply statistical techniques including generalised linear modelling and non-linear methods to improve the performance of the company
• Liaise with other departments on data issues, business effects influencing company reports, business processes and operational issues
• Analyse business issues to find solutions to and make recommendations to improve profitability
• Present findings and results in a clear and logical manner; produce written reports
• Provide input and advice into company analysis strategy and the effective implementation of that strategy to meet company requirements
• Create an innovative approach which drives the business forward by introducing new analytical methods, making use of new data sources and producing reporting suites to track performance
• Implement department timescales on any standard report production, ad hoc business queries, and external requests
• Produce research that will improve business practice
• Train, develop & guide Analysts and Graduate Analysts within the team
• Manage workloads and motivate direct reports (if any) to ensure engagement and productivity
• Represent the Statistical Modelling Manager in meetings as and when required
• Any other reasonable duties as required
• Comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times
• Ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times
• Any other reasonable duties

Job-specific competencies

Experience & knowledge

• Strong background in statistical methods
• Experience of personal lines insurance analysis
• Experience of SAS, Emblem, Excel and advanced statistical techniques
• Proven ability to produce outstanding results based on own initiative
• Experience in people and project management
• Broad knowledge of statistical methods and techniques
• Good knowledge of motor insurance products and the motor insurance industry
• Solid understanding of the business objectives and operations

Skills & Qualifications

• Minimum 2:1 in a numerical undergraduate discipline
• Good communication skills, both verbal and written
• Good time management and organisation skills
• Strong mathematical skills
• Strong problem-solving skills, with the ability to adopt a logical approach to solving problems
• Excellent data and statistical analysis skills
• Strong IT skills (including Excel and ideally programming skills)
• People and project management skills