Job Description - Senior Analyst, Group Pricing (240000DL)
Job Description Description Are you committed to bringing your best to life every day?
At MLC Life Insurance, we're proud of our history of protecting Australians for over 135 years. We provide flexible, affordable, and innovative insurance products to almost 1 million Australians. We're Australian-led and managed, and part of a global network through our partnership with one of the world's leading life insurers, Nippon Life Insurance Group.
We're driven by a powerful purpose, providing our customers and their families with a Promise for Life to be there when they need us most – and that's a great purpose to bring us together at work every day.
We work hard to deliver a total customer experience that keeps our customers and partners at the forefront of all our decisions. We're a values-driven business that strives for high performance and growth as we look towards the future.
The Role We currently have an opportunity to join our Pricing & Insurance Sustainability team as a Senior Analyst in Group Pricing in a permanent position. This opportunity is open to work from our North Sydney office in conjunction with our hybrid work from home options.
As a Senior Analyst, you will work for Group Pricing within the Pricing & Insurance Sustainability department providing pricing and data analysis recommendations for group life insurance.
Your responsibilities will include: Price new business group insurance schemes (industry funds, master trusts) and re-rates / annual review of in-force schemes.Utilise existing models and processes to manipulate data, conduct analysis on historical and emerging experience, and advise on financial impacts.Document findings to assist with management decision making and provide information to support the Appointed Actuary's CPS 320 advice.Design and implement new pricing models or modify existing models, using statistical and machine learning techniques.Conduct data analysis to identify trends and inform pricing decisions, using tools like R, Python, and SQL.Perform data manipulation on historical claims data, to identify potential issues and resolve them with other stakeholders.Research, enhancement, and automation of existing processes as well as implementation of new analysis and techniques.About you Demonstrated knowledge and experience in R (mandatory) and other coding skills (Python, SQL, VBA).Strong understanding of data analytics/modelling, machine learning, and statistics.Proficiency in Microsoft Excel.Actuarial certification (e.g. AIAA, FIAA) or progress towards fellowship qualification.Degree qualified in actuarial studies, mathematics, data analytics, or similar quantitative disciplines.2+ years of experience in actuarial or data analytics fields. Open to non-life insurance actuarial experience.Bringing our best to life - why join us? We do work that makes a genuine difference to our customers, partners and community.We have a supportive, inclusive and flexible team culture, including hybrid working.We support your growth and development, and careers across our business units and teams that are as unique as our people.We reward and celebrate our successes, through our incentive and recognition programs.We offer tools, resources and benefits to support your wellbeing, including additional lifestyle leave and our Family Life hub.We connect and celebrate our diversity at work through our social committees and employee groups, and we contribute to our community with paid volunteer leave and through our sustainability commitments.Should an applicant be the preferred candidate, background checks (including Federal Police Checks, Employment checks, ASIC banned and disqualified persons and Bankruptcy checks) will be completed prior to the candidate's employment being confirmed. The outcomes of the background checks do not automatically bar candidates, however they will be assessed against the inherent requirements of the position.
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