In-Demand Intelligence / machine learning Jobs in Melbourne, Vic

Data Analyst, Risk
Binance —Melbourne VIC
- Full-time
- Remote
- Data analysis skills
- SQL
- Bachelor's degree
Quick Apply
AI Full-Stack Developer
Architectus —Melbourne VIC
- Full-time
- Azure
- CAD
- Master's degree
- Work from home
- Parental leave
4d
Consultant - Data & Analytics
Synogize —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
- Communication skills
Quick Apply
5d
Engineering Manager - Search Intelligence
REA Group —Richmond VIC
- Full-time
- Hybrid work
- Machine learning
- APIs
- AI
- Parental leave
5d
Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Software troubleshooting
- AWS
- Bachelor's degree
Binance Accelerator Program - LLM Model Training & Data Processing
Binance —Melbourne VIC
- Remote
- Doctoral degree
- Computer Science
- English
Quick Apply
Senior Data Scientist
RMIT University —Melbourne VIC
- $121,213 - $136,507 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Analysis skills
4d
KPMG Delivery Network Solution Lead: AI
KPMG Australia —Melbourne VIC
- Contract
- Hybrid work
- Azure
- Computer Science
- Engineering
- Parental leave
Quick Apply
AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Melbourne VIC
- Azure
- Computer Science
- AWS
AI Technology Specialist
Viva Energy Australia —Melbourne VIC
- Full-time
- Azure
- Computer Science
- Machine learning
Quick Apply
6d
Controls Technician, APAC Controls Deployment & Service
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- Engineering
- AWS
- Bachelor's degree
Technical Product Manager (Private Health Insurance)
Civica —Melbourne VIC
- Full-time
- Hybrid work
- Analysis skills
- Machine learning
- Product management
- Health insurance
- Work from home
Quick Apply
Forward Deployed Engineering Manager, Gen AI
Google —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
AI Engineering Manager
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
AI Software Engineer (Model Training)
Maincode —Melbourne VIC
- Full-time
- Machine learning
- APIs
- AI
Principal AI Engineer
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
Platform Manager (ML)
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Free parking
- Employee stock purchase plan
Product Manager
Coles Group —Hawthorn East VIC
- Full-time
- Machine learning
- No degree
- Product management
- Free parking
- Employee stock purchase plan
Senior Data Scientist
h2o.ai —Melbourne VIC
- Full-time
- AWS
- Machine learning
- AI
Quick Apply
Senior Manager of People
Pattern —Melbourne VIC
- Full-time
- Bachelor's degree
- Human resources
- Recruiting
- Annual leave
- Parental leave

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Data Analyst, Risk

Binance -
Melbourne VIC

Quick Apply

Job Details

Full-time

Qualifications

Power BI
Data analysis skills
Tableau
SQL
Bachelor's degree
Machine learning
AI

Full Job Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role

We are looking for a highly motivated and detail-oriented Data Analyst to join our team. In this role, you will be responsible for building and maintaining user tagging systems, developing user profiles, and generating actionable insights from large-scale user data. You will work closely with cross-functional teams to support personalized services, risk control strategies, and data-driven decision-making across the organization.

Responsibilities

Manage and maintain a comprehensive user tagging system to support personalized services and risk control initiatives.
Analyze user behavior data to build accurate, dynamic, and actionable user profiles.
Perform data mining, feature engineering, and exploratory analysis to extract meaningful insights from large-scale datasets.
Collaborate closely with cross-functional teams, including Product, Risk, Marketing, and Technology, to optimize user segmentation and targeting strategies.
Monitor and evaluate the effectiveness of user tags and user profiles, continuously improving data quality, accuracy, and relevance.
Support the implementation of data-driven decision-making processes across the organization.
Identify patterns, anomalies, and emerging trends in user behavior to support business growth and risk mitigation.
Contribute to the continuous improvement of data methodologies, profiling frameworks, and analytical processes.

Requirements

Bachelor’s degree or above in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
Minimum 3–5 years of experience in data analysis, user profiling, customer segmentation, or related areas.
Strong background in data analytics, user behavior analysis, and customer segmentation.
Proficiency in Python, SQL, and data visualization tools such as Tableau or Power BI.
Experience with big data platforms and related tools is a plus.
Solid understanding of user tagging methodologies and user journey mapping.
Familiarity with black-market ecosystems and the operating models of bonus abuse, promotion abuse, or fraudulent studio groups is highly preferred; hands-on experience in identifying and combating such activities is a strong advantage.
Knowledge of machine learning techniques and experience applying them to user data is an advantage.
Excellent analytical thinking and problem-solving skills.
Ability to work collaboratively in a fast-paced, international team environment.
Detail-oriented, with a strong sense of data accuracy, consistency, and integrity.
Experience with AI technologies and practical applications is a plus.

Preferred Qualifications

Experience in internet platforms, fintech, risk control, growth analytics, or anti-fraud related domains.
Familiarity with experimentation frameworks, A/B testing, and user lifecycle analysis.
Experience working with large-scale behavioral datasets and real-time analytics scenarios.

Why Binance

Shape the future with the world’s leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Quick Apply

Refine Your Search

intelligence / machine learning jobs in melbourne, vic

Data Analyst, Risk

AI Full-Stack Developer

Consultant - Data & Analytics

Engineering Manager - Search Intelligence

Support Engineer, Region Services

Binance Accelerator Program - LLM Model Training & Data Processing

Senior Data Scientist

KPMG Delivery Network Solution Lead: AI

AI Engineer - FDE (Forward Deployed Engineer)

AI Technology Specialist

Controls Technician, APAC Controls Deployment & Service

Technical Product Manager (Private Health Insurance)

Forward Deployed Engineering Manager, Gen AI

AI Engineering Manager

AI Software Engineer (Model Training)

Principal AI Engineer

Platform Manager (ML)

Product Manager

Senior Data Scientist

Senior Manager of People

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