Investment Model Risk & Validation Specialist

Overview

Your SUPER career starts here. As one of Australia\'s largest profit-for-members superannuation funds, we always remember whose money it is and whose future we\'re looking after. We work to reimagine a new way forward for our 1.1 million members and their communities. Each other. And our world. Sound good? Learn more about us and what we do at awaresuper.com.au.

Your New Role

Join the Investments division as an Investment Model Risk & Validation Specialist, where you\'ll independently validate and enhance investment models, ensuring their accuracy and reliability. You\'ll play a key role in minimising operational risk, advising on best practice, and supporting a culture of accountability and continuous improvement across the investment team. As the role and function develops, there may also be opportunities to evolve and grow the model construction and design capabilities of the division.

• Independently validate and document findings on investment-related models, ensuring correct outputs and minimising operational risk.
• Advise on and help evolve model risk management policy, including controls, documentation standards, and change management.
• Prepare and present detailed risk reports on the health of investment models to model owners and senior leaders.
• Suggest improvements to models and model risk processes based on validation outcomes and emerging requirements.
• Contribute to Line 1 risk activities and provide leadership, advice, and support on model risk matters within the investment team.

How do you exceed our expectations?

• Previous experience performing model validation and model risk advisory consulting within an investment business is required
• The idea of being part of our growth is exciting and you want to play a pivotal role in making super simple.
• Tertiary qualifications specific to the finance industry and at least 5 years\' experience in model validation roles.
• Deep understanding of coding languages (Python, VBA, SQL) and Excel; experience with Matlab is beneficial.
• Strong ability to interpret assumptions, validate quantitative analysis, and implement practical solutions for risk and compliance.
• Demonstrated experience building model risk processes and controls in an operational environment.
• Robust knowledge of buy-side financial markets, model risk, and the evolving compliance landscape, with a collaborative and influential approach.
• You are balanced in accepting risk in any decision you face. You are curious to understand risk context and choose to speak up as we simplify, learn and grow.

Employee Experience

We understand that not everyone works in the same ways. We value flexibility and know that it helps you manage work and life.

Why you\'ll love working at Aware Super:

• Have a super impact: You\'ll think big and care deeply to help more Australians live their best lives in retirement.
• Be part of something super unique: You\'ll work to reshape super and retirement. We\'ll invest in your growth and give you the opportunity to work on career-defining projects.
• Work with super humans: You\'ll work hard and innovate, but also have some fun along the way.
• Feel super cared for: We\'ll support your wellbeing today, as well as in the future. Enjoy a health & fitness reimbursement, work from home technology reimbursement, salary continuance insurance and organisation-wide meeting free zones.

The Aware Super difference

At Aware Super, we believe that diversity of thought, background and experience creates better outcomes for our members and communities and a stronger sense of belonging for our people. We value a diverse workplace and strongly encourage women, Aboriginal & Torres Strait Islander people, people with cultural and linguistic diversity, LGBTQIA+ individuals, people with disabilities, and mature-age individuals to apply. We are proud to be consistently recognised as an Employer of Choice for Gender Equality and our CEO, Deanne Stewart, is a Pay Equity Ambassador.

Desired Skills and Experience

Modelling, R, Python, SQL, Model Risk, Investment Management, Model Validation, Quantitative Analysis