Easygo Logo

Easygo

Data Analyst - Risk

Posted 2 Days Ago
Be an Early Applicant
Melbourne, Victoria
Junior
Melbourne, Victoria
Junior
The Data Analyst will leverage analytical expertise to monitor and report on customer activity, detect anomalies, develop risk models, and provide insights to mitigate risks. This role includes collaboration with cross-functional teams and continuous improvement of risk assessment methodologies.
The summary above was generated by AI

Are you a Data Analyst with an eye for unearthing anomalies and patterns within large datasets to mitigate risk? Have you worked on fraud, forensic, remediation or risk-related data projects? Look no further, Easygo has the perfect opportunity for you!
What's in it for you?

We are seeking a skilled Data Analyst with a specialisation in risk management to play a pivotal role in safeguarding our platform's integrity.

By leveraging your analytical expertise, you will work on proactive monitoring, analysis and regular reporting of customer activity, to detect and mitigate potential risks to ensure a fair gaming environment.

Your role with us:

Your role with us will be ensuring that any abuse that occurs across our Stake platforms are identified, analysed, reported, and then actioned. 

Using advanced analytics and statistical methods to analyse large datasets, you will identify potential risks and trends that may impact the organisation. You’ll be responsible for developing and maintaining risk models to quantify and predict potential threats, providing actionable insights to the decision-making process. You’ll generate clear and concise reports, dashboards, and visualizations to communicate risk-related findings to stakeholders.

You will be joining our Business Intelligence Team and will report to our Data Analytics Lead for Risk.

Who are we?
At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the iGaming industry, including Stake.com, Kick.com and Twist Gaming. 

Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide. All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. 

Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies. 

Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 400+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.

Click play, on your career today!

What you’ll do:

  • Assisting with the regular monitoring and analysing customer activity, transaction patterns, gameplay, and related metrics to identify any irregularities or potential risks that may indicate fraudulent behaviour or non-compliance with established guidelines.
  • Conduct detailed investigations into flagged or reported risks, delivering timely assessments, findings, and resolutions.
  • Develop, generate, and deliver regular reports to relevant stakeholders, offering clear insights to guide decision-making and enhance risk mitigation strategies.
  • Collaborate with cross-functional teams to refine and enhance risk detection and monitoring protocols.
  • Continuously improve risk assessment methodologies, ensuring alignment with evolving threats and business requirements.

What you’ll bring: 

  • A minimum of 2 years’ experience in data analytics
  • Experience working with large transactional datasets in fraud, forensic, remediation or risk-related data roles
  • Proficiency in data analysis and visualisation tools (e.g., Excel, Tableau, Power BI)
  • Experience with SQL and Python 
  • Strong problem solving and analysis skills, combined with effective judgement and communication skills.

Bonus Points for:

  • Experience with Jira and/or Google suite
  • Experience working in fraud, forensic, remediation or risk-related data analysis roles
  • Cryptocurrency experience
  • iGaming, Sports & Gambling knowledge 

Some of the perks of working for us:

  • EAP access for you and your family
  • Access to over 9,000 courses across our Learning and Development Platform 
  • Paid volunteer day
  • Two full-time baristas who will make your daily coffee, tea or fresh juice!
  • Daily catered breakfast
  • Massage Wednesdays - we get professionals to do this!
  • Team lunches and happy hour in the office from 4pm on Fridays
  • Fun office environment with pool tables, table tennis and all your favourite gaming consoles
  • Help yourself drinks fridges and snack shelves

“We are a 2024 Circle Back Initiative Employer – we commit to respond to every applicant”

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Top Skills

Python
SQL
HQ

Easygo Melbourne, Victoria, AUS Office

Melbourne, Victoria, Australia

Similar Jobs

2 Days Ago
Melbourne, Victoria, AUS
Mid level
Mid level
Gaming
As a Data Analyst, you will work closely with Compliance teams to identify and mitigate risks in the Casino and iGaming sectors. Your responsibilities include analyzing large datasets, developing risk tools, automating reporting processes, and providing insights to enhance operational effectiveness.
Top Skills: PythonSQL
2 Days Ago
Remote
Hybrid
Melbourne, Victoria, AUS
Mid level
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Machine Learning Engineer (Modelling) role involves building machine learning models for detecting fraud, researching emerging fraud patterns, collaborating across teams, mentoring fellow modellers, and owning solutions from design to operation.
Top Skills: Python
2 Days Ago
Hybrid
Melbourne, Victoria, AUS
Senior level
Senior level
Artificial Intelligence • Cloud • Digital Media • Machine Learning • Mobile • Software • Design
In this role, you'll develop an AI/ML strategy to enhance customer support, lead natural language processing system development, and collaborate on machine learning projects to improve user experience for Canva's platform.
Top Skills: Python

What you need to know about the Melbourne Tech Scene

Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account