Head of Quantitative Analytics

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Head of Quantitative Analytics

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Dabble

Dabble is a global online gaming business with a heartbeat, driven by our community. We're redefining what betting looks like – bringing the community, the chat and the passion of real fandom into one place. We are where social media meets wagering in a way players have never seen before.

Founded in Albury, Australia in 2020, we've been on an explosive scale‑up journey, driven by our core philosophy "You Better Believe It." We operate in Australian and US markets and this year we launched a product in the UK!

Our platform is built on connection, celebration and fun. This means whether it’s in‑app or in the workplace, we’re committed to delivering an extraordinary experience as guided by our philosophy and values.

Overview In this newly created role as Head of Quantitative Analytics you will establish and lead a high‑performing team that will be instrumental in driving the next phase of Dabble’s growth. We are seeking a senior leader who can bring clarity, direction, and momentum to our quantitative analytics efforts.

You will oversee the development of world‑class sports pricing models and predictive analytics to drive commercial decision‑making. While this is a leadership role, ideally you will be hands‑on in the early stage; building models, setting up best practices, and mentoring the team to get some early wins on the board until the function scales.

Key Responsibilities

Develop and execute a bold, industry‑leading strategy for quantitative analytics that aligns with Dabble’s global expansion

Build and manage a high‑performing team, hiring top talent and embedding a culture of execution, innovation, and collaboration

Foster a strong partnership with senior leadership, ensuring data‑driven decision‑making is at the core of the company’s growth strategy

Be an effective communicator, making complex models and data‑driven insights accessible to both technical and non‑technical stakeholders

Lead the development of advanced predictive models to refine pricing accuracy and reduce reliance on manual effort in odds generation

Establish a scalable approach to sports modelling that ensures Dabble offers competitive and profitable pricing in the market

Develop real‑time model monitoring systems to detect drift, assess feature stability, and ensure pricing models adapt to evolving market conditions and competitor behaviour

Work closely with trading and product teams to integrate models into production, ensuring seamless execution

Additional Responsibilities

Using predictive analytics and customer insights to optimise acquisition, retention and promotional strategies

Building stochastic simulation models to forecast market dynamics, optimise decision‑making, and guide strategic resource allocation across acquisition, retention and pricing

Leveraging machine learning and recommendation systems to improve in‑app experience, ensuring users see the right content, markets and promotions at the right time

Developing algorithms for personalised customer engagement, such as ‘For You’ feeds, dynamic pricing and churn prevention models

Developing tools and predictive models to identify early signs of problematic behaviour, enabling both Dabble and customers to take proactive measures for harm minimisation and responsible gaming

Requirements

Ideally, you’ll have a track record of driving initiatives end‑to‑end in fast‑paced, data‑rich industries

Ability to develop and execute a strategic vision for a data science team that directly impacts business growth

Demonstrated ability to operate autonomously in high‑ambiguity environments, proactively identifying opportunities, structuring problems and delivering high‑impact solutions with minimal oversight

Experience hiring, mentoring, and leading high‑performing technical teams in a fast‑paced environment

Strong hands‑on capability in quantitative modelling, machine learning and statistical analysis, able to roll up your sleeves and build models yourself when needed

Expertise in at least one relevant programming language (Python, R, etc.) and experience with modern data science tools, frameworks, and cloud environments

Exceptional communication skills, able to clearly articulate technical concepts to executives and make data science approachable for non‑technical teams

Are you a Dabbler? A Dabbler’s attitude is paramount, as the right person will be able to learn quickly and adapt to any skill gaps. A Dabbler is always a team player, with a willingness to share with and learn from others. Being a remote‑first workplace, collaborative working styles are crucial to empower and grow each individual member. A Dabbler uses their freedom of autonomy to its absolute potential and enjoys contributing to the Dabble community. We hold respect for our peers very highly – there is no such thing as a bad idea. We encourage you to think differently, be brave and strive to always raise the bar. Dabble embraces empowerment of all people at any level of seniority and experience to ‘own their work’ and ‘talk their book’ wherever they can.

A fulfilling life extends beyond work, and we encourage our employees to prioritise self‑care and well‑being. This means taking breaks when needed, setting boundaries, and seeking support when facing challenges. We are committed to creating a safe environment where individuals feel comfortable discussing their well‑being and accessing resources when necessary.

Primary Location This role is currently open to all locations within Australia, the US and the UK. Candidates outside of these countries will be considered on a case‑by‑case basis.

Remuneration The advertised salary for this position starts at $220,000 + Super + Benefits with room to be flexible. We’re open to negotiating a competitive package to attract top talent.

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