Senior Fraud Operations Specialist | Singapore, SG

GXS Bank; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

GXS Bank seeks a fraud operations specialist to enhance its fraud detection and prevention efforts. The ideal candidate will leverage their experience in financial crime, work with cross-functional teams, and utilize analytical skills in SQL and Python to address risks in a digital banking environment.

Qualifications

• Minimum 5-7 years of practical experience in fraud risks and project management.
• Good knowledge of cyber risk and common fraud typologies.
• Experience with automation using ML/AI solutions.

Responsibilities

• Track and monitor illegal transactions on financial accounts.
• Report suspicious account movements and unusual transactions.
• Collaborate with teams to improve fraud prevention mechanisms.

Skills

SQL

Python

Fraud Risk Management

Cyber Risk Knowledge

Machine Learning

Job description

Get to know our Team:
We design and provide products and services that empower our customers to enjoy greater banking convenience while they extract more value from their money. In particular, we are focused on promoting and developing healthy saving and investment practices across generations.

Get to know the Role:
We are living in exciting times. Technology is reshaping how we live and we want to redefine how financial services are offered, which is why Singtel and Grab are coming together. Singtel is Asia's leading communications group connecting millions of consumers and enterprises to essential digital services while Grab is the leading technology company in Southeast Asia offering everyday services to consumers. Together, we have big dreams to unlock and financial inclusion for people in our region is just one. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We are looking for a born detective to join our fraud operations team. You will help review and make decisions on specific cases of suspected fraud and contribute to our prevention and detection mechanisms. There is no denying digital banking can provide opportunities for fraudsters and malicious actors. Our ability to track, record, and combat fraud at scale is required to serve our customer needs. We will build machine learning systems that can crunch through large amounts of data and make real time decisions, and great tools that help us parse through and visualize behavioural data, but at the heart of it all is the ability to make the right call at the right time by operational specialists. Our job is to protect our customers and Digibank from fraud and malicious acts, while ensuring our technology and process is seamless and delightful.

The day to day activities:

Track and monitor illegal transactions on customers' financial accounts without the authorization of the account owner.

Report any suspicious account movements and unusual transactions that may be risky to Digibank and customers.

Produce Fraud Reports in a clear, concise, objective and factual manner using available data on arising incidents/trends and mitigating plans.

Collaborate with analysts, operations specialists, data scientists and engineering to improve our fraud prevention mechanisms, processes and tools.

Pro-actively monitor and identify suspicious trends and patterns, suggesting preventative actions and improvements to current procedures, policies, and systems.

Anticipate risks and in doing so, define appropriate fraud prevention and detection processes, and propose changes to further control to ensure we are not susceptible to fraud risk. Communicate action plans to stakeholders as required.

Ensure all fraud prevention and detection measures are effectively implemented.

Achieve continuous improvement to enhance the operational efficiency and effectiveness of fraud operation processes.

Maintain an up-to-date knowledge of industry trends and regulatory changes to identify and validate future requirements and opportunities.

Research fraud and user behaviour to gain insights into fraud patterns, contribute to machine learning models, rules and other detection systems and to further advance our fraud strategy.

Proactively identify financial crime trends through data analysis, evaluate potential fraud indicators and the impact of current fraud trends as well as make recommendations for appropriate mitigation controls.

The must haves:

Adapting, learning and being a passionate fraud SME. You have worked in a government agency, bank and/or Fintech and have minimum 5 - 7 years of practical experience of fraud risks & project management.

You have a good knowledge of cyber risk and common fraud typologies, along with the emerging trends affecting fraud and financial crime.

You are familiar with Internet technologies and protocols to understand how they can be manipulated.

You have experience working with and designing fraud processes with a high level of automation through ML/AI solutions.

You have strong execution skills and the ability to react to change.

You are able to use codes like SQL/ Python to analyse information, spot patterns and apply logical thinking to identify the key issues and formalize complex ideas into a well-defined process.

You are an effective communicator.

You need to be commercial, strategic and solutions-oriented to prevent loss and reputational damage to the bank.

You are comfortable in navigating through occasional situations of ambiguity or uncertainty.

Perhaps most importantly, you must set a positive example for your colleagues. You need to be honest and ethical, with high levels of integrity and confidentiality

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