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UOB Investment

Fraud Rule Manager

5-7 Years
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  • Posted 10 days ago
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Job Description

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

As a Fraud Rule Manager, you will be responsible for developing, implementing, and optimizing fraud detection rules and strategies to protect UOB (Thai) Public Company Limited from financial losses and maintain the integrity of its systems.

Job Descriptions

  • Develop and implement robust fraud detection rules and strategies across various products and channels, utilizing advanced analytics and understanding of fraud typologies.
  • Monitor and analyze fraud trends, patterns, and emerging threats to proactively identify vulnerabilities and enhance fraud prevention measures.
  • Collaborate with cross-functional teams, including product development, IT, operations, and risk management, to integrate fraud prevention into new and existing systems.
  • Perform ongoing tuning and optimization of fraud rules to minimize false positives while maximizing fraud detection rates.
  • Conduct post-implementation reviews of fraud rules to assess effectiveness and identify areas for improvement.
  • Prepare and present regular reports on fraud performance, rule effectiveness, and key metrics to senior management.
  • Stay abreast of industry best practices, regulatory requirements, and technological advancements in fraud prevention.
  • Participate in fraud investigations and provide expert analysis to support decision-making.
  • Document fraud rules, strategies, and processes thoroughly and maintain up-to-date knowledge base.

Job Qualifications

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related discipline. Master's degree preferred.
  • Minimum of 5 years of experience in fraud risk management, with a strong focus on rule development and strategy implementation within the financial services industry.
  • Solid understanding of various fraud typologies across different banking products (e.g., credit cards, debit cards, digital banking, loans).
  • Strong analytical and problem-solving skills with the ability to interpret complex data and identify actionable insights.
  • Excellent communication, presentation, and interpersonal skills to effectively collaborate with stakeholders at all levels.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Detail-oriented with a strong commitment to accuracy and data integrity.

หมายเหตุ : ธนาคารมีความจำเป็นจะต้องดำเนินตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร

Remark: The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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Job ID: 147525433

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Thailand

Skills:

Advanced Analyticsfraud detection rulesfraud typologies