Risk Advisory was created to respond to client demand and is designed to provide risk expertise that complements Ashurst Perkins Coie's core legal services.
We provide the opportunity to work with an expertise-led team that has been consistently growing since its inception, and is dedicated to collaboration, diversity, transparency and innovation. Our vision is to create a unique culture in the consulting market based around a flat, collaborative structure that offers everyone the opportunity to work closely with Directors, Partners and clients on engagements. This means you have on the job training with your leaders, direct involvement with business development, clear recognition for your performance, and greater career opportunities.
The Opportunity
As a result of exponential growth our Data, AI & Analytics team is looking to hire Executives (equivalent to a Manager/Senior Manager/Associate Director in Big4 consulting) to grow our advanced analytics, modelling, and digitised risk solution offerings in Australia.
We support our clients by working in close collaboration with our legal counterparts and teams across the Risk Advisory practice to focus on how data and analytics can be used to deliver a best-in-class legal led consulting service.
We combine our advanced analytics and data science expertise to design and deliver data-driven risk management solutions across a vast array of domains from financial crime to employment to cybersecurity to name just a few.
Please review the job description attached to the role on our careers page for more detail on the role and what we can offer you:
https://www.ashurstperkinscoie.com/en/careers/
We are interested in hearing from you if:
- You are an experienced consultant with demonstrated capability and expertise in advanced analytics, model development, and building digitised solutions to manage risk.
- You have 5-8 years' experience working in data analytics, data science, or a quantitative risk role, ideally in a client facing role in a well-respected consultancy.
- You have experience developing analytical models, building tooling, or delivering digitised risk solutions for clients.
- You have experience deploying analytics to support remediation programmes, ideally including wage or entitlements compliance, and understand the regulatory and operational nuances involved.
- You have exposure to applying data and analytics to support disputes, conduct risk, or litigation support matters.
- You're a self-starter who is keen to work in a fast-paced environment that is always evolving and requires you to be proactive, confident and humble.
- You have proven experience managing multiple projects, including developing go-to-market material and proposals, pre-engagement activities, producing high quality deliverables, conducting stakeholder workshops, issuing final reports and billing.
- It's desirable if you're experienced and comfortable with the common tools in this space. We typically work with Python, SQL, Alteryx, and cloud platforms, alongside visualisation tools such as PowerBI or Tableau. Experience with workflow automation, version control, or data engineering platforms is also valued - but we're open to equivalent toolsets.
What makes Risk Advisory a great place to work?
- Flexible work options
- Health and wellbeing benefits, gym membership, and discounted corporate health plans
- Family & caring - 26 weeks paid parental leave
- Career advancement - client secondment opportunities, global opportunities, and award-winning Learning & Development programs
We value diverse perspectives at Ashurst Perkins Coie, so even if you don't feel you meet all of the requirements, we still encourage you to apply.
If you require any support and adjustments to participate equitably in our recruitment process or in the workplace, we encourage you to contact: [email protected] for a confidential conversation.
If you are interested in this opportunity, please apply directly to Ashurst Perkins Coie. We prefer to talk with you personally and are not accepting applications from recruitment agencies.
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