Senior Research Associate, School of Risk and Actuarial Studies

Location
Sydney, Australia
Posted
03 Jul 2019
End of advertisement period
01 Aug 2019
Ref
497096
Contract Type
Fixed Term
Hours
Full Time

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

UNSW is currently implementing a ten-year strategy to 2025 and our ambition for the next decade is nothing less than to establish UNSW as Australia’s global university. We aspire to this in the belief that a great university, which is a global leader in discovery, innovation, impact, education and thought leadership, can make an enormous difference to the lives of people in Australia and around the world.

UNSW Business School is a leader in business education and research in the Asian region and one of the largest Business Schools in Australia with more than 16,500 students, 500 academic and professional staff and more than 80,000 alumni and partners. The Business School offers a full suite of business degree programs at undergraduate, postgraduate, coursework and research levels, including the AGSM MBA programs and a range of Executive Programs.

The School of Risk & Actuarial Studies has an established international reputation for excellence in its undergraduate and postgraduate programs in Actuarial Studies, its courses in risk management and superannuation and pensions and its supervision of Honours, MPhil and PhD Students. The School’s reputation is built on outstanding staff, students and alumni, a strong international research profile and well developed local and international linkages with academics, industry and government.

About the role

  • $107,210 - $126,386 + 17% superannuation
  • 3 year fixed-term position
  • Full-time (35 hours per week)

The Senior Research Associate (Level B academic) will perform research and collaborate with investigators on quantitative risk management.

The role of Senior Research Associate reports to the supervisor and has no direct reports.

Specific responsibilities for this role include:

  • Designing and performing research tasks in the area of quantitative risk management under the leadership of the supervisor
  • Developing and assessing models, software, databases, computational techniques for the research project
  • Analysing and interpreting data and communicating results
  • Producing timely and high-quality research to be published in top tier disciplinary journals
  • Assisting with preparation of grant applications as appropriate
  • Collaborating with investigators including industry contacts on model development and applications under the research project
  • Presenting to academic and industry conferences, internationally and locally
  • Assisting with supervision of research students and research assistants involved with the project

About the successful applicant;

  • You will hold a PhD in actuarial studies, statistics, operations research, econometrics, or a related discipline
  • Demonstrated research interest in the interface of insurance, finance, and risk management
  • Evidence of strong performance in research in a field relevant to quantitative risk management
  • Demonstrated knowledge & experience in probability and statistics
  • High level of competency in computing modelling techniques and data analysis skills
  • Excellent communication skills in writing research papers and in presenting research
  • Proven ability to work both independently and as a member of a multi-disciplinary team

You should systematically address the selection criteria listed within the position description in your application. Please apply online - applications will not be accepted if sent to the contact listed.

Contact:

Hayley Randall

Talent Acquisition Consultant

T: 02 9385 0962

Applications close: 11:30 pm Thursday 1st August 2019

UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds. UNSW aims to ensure equality in recruitment, development, retention and promotion of staff, and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity. We encourage everyone who meets the selection criteria to apply.