Senior Quant AI Analytics at Westpac Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

04 Aug, 26

Salary

0.0

Posted On

06 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Generative AI, RAG Architecture, Python, Model Lifecycle Management, Quantitative Analytics, Azure, Snowflake, Airflow, Kafka, REST API, LangChain, LlamaIndex, Risk Modeling, Forecasting, Optimization

Industry

Financial Services

Description

Create your best future as a Senior Quantitative AI Analytics Specialist! What’s the role? The Senior Quant / Analytics Specialist plays a key role in shaping, applying and interpreting quantitative models and analytics that support pricing, risk, portfolio and strategic decision making across Commodities, Trade and Transition (CTT). In this role you will own and build real production analytics that influence trading/pricing/risk decisions, shaping standards and approach end to end and be deciding pragmatically where ML / AI adds value over time (not “mandated to deploy every new AI technique”). As well as this you will be ensuring delivery and ownership sit within WIB CTT, aligned to CTT cost centre / roles. Key Responsibilities include: * Lead end to end operationalisation of ML + GenAI analytics: - Model lifecycle: design → build → validate → release → monitor → retire. - Production controls: versioning, reproducibility, audit trails, change management. * Own GenAI technical implementation quality: - Retrieval strategy and RAG architecture; define context contracts per use case. - Define and enforce evaluation strategy (metrics, coverage, red team tests, drift). - Establish prompt/context release discipline (versioning, rollbacks, safe defaults). * Deliver analytics that are reliable, scalable, governed in production. * Maintain WIB CTT ownership boundary, use cases, artefacts, and outcomes (models, evals, dashboards, decision integrations) for our line of business What do I need? We’re looking for a highly capable quantitative and AI specialist who brings strong depth across both classical machine learning and modern GenAI engineering. You’ll be comfortable taking complex models from concept through to production, setting high technical standards, and leading sophisticated AI work end to end, while also supporting the growth of others along the way. The ideal candidate will have strong experience in delivering production ML systems (not just notebooks) and will provide a demonstrated ownership of model lifecycle and operationalisation. You should well versed in delivering GenAI features with measured evaluation and controlled releases. Additional skills and experience required includes: * Strong modelling depth across classical machine learning used in production decisioning, including forecasting, optimisation, anomaly detection and risk models, with a practical understanding of real‑world trade‑offs. * Comfortable partnering with traders/risk, producing decision relevant analytics * Deep GenAI engineering experience, including: - Designing and selecting RAG architectures (hybrid retrieval, re‑ranking, metadata strategies). - Building robust evaluation frameworks covering coverage, failure modes, calibration, drift and regression. - Implementing safety patterns such as grounding, clear refusal boundaries, deterministic fallbacks and strong auditability. * A disciplined approach to production delivery, including release engineering, observability, incident response and defining measurable SLOs for models. * The ability to set technical standards and lead complex quantitative and AI initiatives end to end. * A genuine interest in teaching, mentoring and developing junior team members. * Stack experience should include: Microsoft Azure / Snowpark Container Services, Airflow + Python + Mongo, Kafka, REST API Microservices, React, LangChain / LlamaIndex / AutoGen and snowflake Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find more information and contact details on our FAQs and how to contact us page [https://aus01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.westpac.com.au%2Fabout-westpac%2Fcareers%2Ffaq-contact-us%2F&data=05%7C02%7Cdakotah.bishop%40westpac.com.au%7Cd15ccf34ab1e42eba8b108de7044f492%7C57c64fd466ca49f5ab382e67ef58e724%7C0%7C0%7C639071638622937325%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=CVu4NaILh3E9bnppTkmFikGV3MAwuAh5JuFwMi%2FFj5o%3D&reserved=0], under the ‘Diversity, sustainability and flexibility’ section.

Responsibilities

Lead the end-to-end operationalization of ML and GenAI analytics to support pricing, risk, and strategic decision-making. Own the technical implementation of RAG architectures and ensure production-grade reliability, governance, and scalability.