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Gojek Indonesia
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Gojek Indonesia
1,000 - 50,000 employees
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Risk Analyst null
Jakarta Selatan
Opportunity Expired
Working within the Risk function, you will get to learn about risk analytics and fraud detection and management. The cherry on top: you’ll get to be a part of a team that works to make Trust and Safety a top priority at GoTo Financial.
Opportunity details
Opportunity Type
Graduate Job
Application dates
Minimum requirements
Accepting International Applications
No
Qualifications Accepted
I
IT & Computer Science
Computer Science (all other)
Data Science
Hiring criteria
Bachelor
See details
What You Will Do
Analyze and mine a large pool of user behavioral data to
investigate potential risk and fraud cases that are flagged by GoTo Financial fraud detection rules and models
Investigate consumer and merchant behaviors and transactions to determine if any risk or fraud
Identify likely fraud modus-operandi and feedback to risk teams for action
Build a knowledge repository for validation SOP across the entire Risk org
Develop and update risk reporting dashboards/BI, airflows, and clockworks automation to accurately and timely report key risk metrics.
What You Will Need
Experience in data-driven problem-solving roles in a fast-paced environment
Bachelor’s or Master’s degree in Computer Science or Quantitative disciplines
Good coding skills in one or more programming languages, e.g. Python, SQL, BigQuery
Experience in data visualization tools such as Tableau, Google Data Studio, Metabase is preferred by not required
Good communication and writing skills in English to present and engage with team and stakeholders about risk analysis
Curiosity and a keen interest in data analytics
Experience in managing a team is a plus
Experience in setting up automation processes through queries and scripts is a plus.
Hiring criteria
You should have or be completing the following to apply for this opportunity.
Bachelor
Degree or Certificate
Minimum Level of Study
Bachelor or higher
Study Field
I
IT & Computer Science
Computer Science (all other)
Data Science