Quant Research Intern: Ml, Trading & Markets In Sydney

Saniti - Student Association Of Nelson-Marlborough Institute Of Technology Inc; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

Saniti - Student Association Of Nelson-Marlborough Institute Of Technology Inc is seeking a Senior Analytics Analyst to blend hands-on analytics with strategic business partnering. You will develop scalable analytics solutions and use data to drive actionable improvements in performance.

You will collaborate with Finance, Risk, Product, Operations and Technology teams, turning complex data into clear insights and helping embed data-led decision-making across the organisation in Sydney.

Qualifications

• Bachelor's degree in Data Science, Mathematics, Statistics or related quantitative discipline.
• Strong programming capability in SQL and Python.
• Demonstrated experience delivering analytics solutions with measurable outcomes.
• Experience applying advanced statistical modelling to real-world business problems.
• Strong analytical, critical-thinking and problem-solving skills.
• Proven experience partnering with multiple business units and influencing decisions.
• Ability to translate complex analysis into clear commercial insights and recommendations.
• Strong stakeholder management, influencing and communication skills.
• Ability to build credibility with stakeholders at different levels.
• Experience within financial services and/or data analytics consulting.
• Ability to work autonomously while collaborating across multidisciplinary teams.
• Strong attention to detail with focus on delivering high-quality outcomes.

Responsibilities

• Partner with stakeholders to understand priorities and opportunities where analytics can add value.
• Design and develop reliable, scalable analytics solutions that address business needs and measurable outcomes.
• Analyze complex datasets and translate findings into clear, objective insights.
• Apply advanced statistical techniques to identify opportunities and improve processes and performance.
• Build understanding of the data landscape and identify relevant assets to support initiatives.
• Collaborate with Data Strategy & Analytics teams to deliver end-to-end analytics initiatives.
• Coordinate dependencies and communicate delivery plans to stakeholders.
• Support strategic initiatives and client opportunities through data-driven recommendations.
• Build trusted relationships with senior stakeholders and influence key decisions.

Skills

SQL

Python

Advanced statistics

Data analysis

Stakeholder management

Communication

Problem solving

Autonomous work

Financial services

Education

Bachelor's degree in Data Science/Statistics

Tools

Databricks

dbt

Job description

Senior Analytics Analyst

This role combines hands‑on analytics with strategic business partnering. You will develop scalable analytics solutions, apply advanced analytical and statistical techniques, and use data to support better decision‑making and measurable improvements in business performance.

Working closely with Data Strategy & Analytics and stakeholders across Finance, Risk, Product, Operations, Technology, Distribution and Business Development, you will act as a trusted analytics partner and help embed data‑led decision‑making across the organisation.

What you’ll be doing

• Partner with business stakeholders to understand strategic priorities, business challenges and opportunities where analytics can add value.
• Design and develop reliable, scalable analytics solutions that address business needs and support measurable outcomes.
• Analyse complex datasets and translate findings into clear, objective and actionable business insights.
• Apply advanced statistical and analytical techniques to identify opportunities and improve business processes, decision‑making and performance.
• Build a strong understanding of the organisation’s data landscape and identify relevant data assets to support business initiatives.
• Work closely with Data Strategy & Analytics teams, including data development and visualisation specialists, to deliver end‑to‑end analytics initiatives.
• Act as a key connection between the broader analytics function and business stakeholders, helping assess and prioritise strategic programmes and ad‑hoc analytics requests.
• Coordinate dependencies including resourcing, technical requirements and delivery schedules, and communicate these effectively to stakeholders.
• Support strategic initiatives and client opportunities through detailed analysis, commercial insights and data‑driven recommendations.
• Build trusted relationships with senior stakeholders and influence key decisions using evidence‑based insights.
• Communicate complex analytical findings clearly and persuasively to both technical and non‑technical audiences.
• Promote continuous improvement and identify opportunities to increase the maturity and effectiveness of analytics across the business.

What you bring

You don’t need to tick every box, but experience in the below will set you up for success.

Experience & Skills

• Bachelor’s degree in Data Science, Mathematics, Statistics or a related quantitative discipline, with a strong understanding of advanced statistical techniques.
• Strong programming capability in SQL and Python.
• Demonstrated experience delivering analytics solutions that produce measurable business outcomes.
• Experience applying advanced statistical modelling and analytical techniques to real‑world business problems.
• Strong analytical, critical‑thinking and problem‑solving skills.
• Proven experience partnering with multiple business units and influencing business decisions through data and analytics.
• Ability to translate complex analysis into clear commercial insights and recommendations.
• Strong stakeholder management, influencing and communication skills.
• Ability to build credibility and trusted working relationships with stakeholders at different levels of an organisation.
• Experience within financial services and/or data analytics consulting.
• Ability to work autonomously while collaborating effectively across multidisciplinary teams.
• Strong attention to detail with a focus on delivering high‑quality work and commercial outcomes.
• Adaptable and comfortable operating in a fast‑paced, changing environment.

Desirable

• Experience with Databricks and dbt.
• Experience applying analytics within customer, marketing or operational environments.
• Experience using data to support process optimisation and continuous improvement.