Predictive Analytics and Pricing Analyst.

vor 4 Wochen

Melbourne, Österreich Guild Group Holdings Ltd Vollzeit
Predictive Analytics and Pricing Analyst.

Job Number:
493486

Work type:
Full Time Permanent

Location:
Melbourne (CBD)

Categories:
Analysis

Predictive Analytics and Pricing Analyst

Guild Insurance is Australia's leading provider of insurance solutions for allied healthcare professionals. For more than 60 years, we've been providing exceptional products and services, and unparalleled customer experiences, driven by a genuine care for our clients' professional and financial wellbeing. With over 140 industry partnerships and 80,000 customers nationally, we are uniquely positioned to offer our customers insurance they can depend on. At the heart of what we do is being there for those our communities rely on.

Your new role as Predictive Analytics and Pricing Analyst will support the delivery of Guild Insurance's company strategy through customer behaviour analytics and in turn insurance pricing, to drive profitable growth and targeted risk selection and portfolio management.

There are two core components to this role, they are:

Technical Pricing and Risk Analytics

  • Utilise statistical modelling techniques to generate portfolio claim costs by rating factors as input into sustainable pricing.
  • Determine target loss ratios and the development and maintenance of large account pricing tools.
  • Assist in the technical review of strategic (book) pricing models for key products.
  • Provide input to costing planned product development initiatives.


Predictive Analytics

  • Create frameworks and models that will allow monitoring of the end to end insurance value chain, initially focussed on the short tail portfolio.
  • Propensity modelling of both retention of existing business and conversion of new business
  • Propose advanced analytics solutions for our internal business partners.
  • Work with external data to help drive customer insight and improve the customer experience.
  • Provide proactive insights and thought leadership to the relevant Underwriting and Claims teams.


In addition, you'll support strategy by providing data and recommendations for budget and business planning, coaching junior team members, and occasionally leading projects.

Who would this role suit?

  • Possess a background in data analytics, customer analytics and insights, and reporting for various commercial initiatives (including pricing) within an enterprise business.
  • Hold a bachelor's degree in either actuarial studies (preferred), Mathematics/Statistics, Data Science, Applied Finance, or a related field.
  • Experienced in building relationships, advising, and engaging with stakeholders at all levels, including senior and executive leadership.
  • Proven ability to provide business analytics and insights for all levels of the business.
  • Bring some work experience gained in workers compensation, general/health or life insurance, or financial services (ideal but not necessary)
  • Proficient in Data, Analytics and BI tools like Databricks, Power BI, Tableau, and Excel with coding capabilities in SQL, Python, or R.


What we offer...

Guild Group is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We pride ourselves on having an inclusive and productive workplace where we treat our people and our clients with fairness, dignity, and respect. We offer:

  • Hybrid working
  • Paid parental leave for eligible staff.
  • An extra day of paid leave in addition to your annual leave entitlements
  • Enhanced long-service leave.
  • Staff discounts and offers with leading retailers.
  • Innovative Employee Assistance Programme
  • Wellbeing initiatives


Apply now to express your interest in this key role. Should you have any questions or if you'd like a copy of the position description, please feel free to contact Jason at jburns@guildgroup.com.au

Advertised: 21 May 2024 AUS Eastern Standard Time
Applications close: 31 May 2024 AUS Eastern Standard Time

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