Data Analyst - Singapore - NodeFlair

NodeFlair

Verified Company

Singapore

2 weeks ago

Posted by:

Wei Jie

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Description

Job Summary:

Salary
S$7,000 - S$14,000 / Monthly

Job Type

Seniority
Mid

Years of Experience
At least 3 years

Tech Stacks
Qlik R Sas SPSS SQL Python

As a Data Analyst (Risk), you will be involved in supporting the risk operations by conducting data analysis of risk cases to discover risk trends and behavior patterns from big data sets, thereafter being involved in designing long-term solutions to fight fraud.

The insights you provide will be optimizing risk strategies to create business value and enable trust for our clients.

Analysis of rich user and transaction data to uncover device, user, transaction, etc. trends that help alert SHIELD's risk systems and contribute to fraud prevention mechanisms
Optimize fraud detection by rapidly identifying emerging fraud trends through datadriven analysis and developing strategic fraud rules to address them
Perform data/statistical analysis to keep processes at the forefront of fraud detection by identifying areas of potential fraud risk and/or potential opportunities to improve current fraud mechanisms
Develop and communicate insights and recommended actions to stakeholders to manage risk by contributing toward machine learning models, and risk management principles to help clients trust their users by staying ahead of new and unknown fraud
Build and maintain dashboards for all stakeholders to provide visibility of key metrics, fraud patterns, and detection efficiency
35 years of experience as a handson analyst in a hightech company
Minimum Bachelor Degree in Computer Science, Data Sciences, Statistics, Math, or other related fields
Strong experience in handling largescale unstructured data
Experience in SQL or other data handling tools, as well as the ability to learn more advanced data
Business intelligence experience using tools such as Tableau, Qlik Sense, and Excel
Working experience with any of the data analysis tools such as R, Python, SPSS, SAS, etc.
Ability to take initiative in a fastmoving and dynamic environment, and take timely actions to prevent risk of fraud