Fraud Risk Systems Specialist - Mandaluyong - Maya

Paglalarawan

CORE PROFILE

The role will lead the strategy and execution of fraud and AML systems to protect both our business and our customers in close collaboration with Products and Tech group. This role ensures that the correct tools and procedures are in place and are working as expected to enable full productivity of the antifraud and anti money laundering investigation teams. The ideal candidate will have a proven track record in designing, implementing and monitoring fraud detection and prevention strategies, systems and technologies.

NATURE OF WORK

• Support help to the fraud strategy for the company, working closely with tech, and product teams to ensure fraud systems align with business objectives.
• Lead the design, implementation, and continuous improvement of fraud detection and prevention systems.
• Ensure AML / fraud systems comply with all relevant financial regulations and compliance requirements with necessary updates recommended when new laws/ regulations arise.
• Work closely with cross-functional teams, including InfoSec, Risk Management,
• Compliance, Products, and Tech to develop and deploy scalable solutions for fraud prevention/detection
• Oversee the monitoring of fraud systems and technology performance, ensuring systems are working as designed.
• Lead response efforts for AML/fraud systems issues, including post-incident analysis, root-cause identification and coordination of remedial actions as soon as possible.
• Implement and optimize fraud detection/prevention tools and technologies, ensuring they are optimized for accuracy and efficiency.
• Conduct regular reviews of antifraud systems, procedures and configurations, recommending updates as necessary to stay ahead of evolving fraud tactics.
• Coordinate to relevant teams / sub units in Anti-fraud and within other stakeholders, ensuring timely reporting of any system-related issue is detected.
• Establish key performance indicators (KPIs) and metrics to measure the effectiveness of fraud prevention/detection efforts, providing regular reports to senior management.
• Lead a team, providing coaching, mentorship, and performance management.

DISPLAYED SKILL MASTERY

• Fraud Awareness: Understand how fraud occurs and recognize warning signs.
• Technology Integration: Leverage cutting-edge technologies for Antifraud/AML use cases
• Risk Management: Identify and mitigate potential fraud risks effectively.
• Data Analysis: Interpret complex data to detect fraudulent activities.
• Regulatory Compliance: Ensure compliance with fraud-related laws and regulations.
• Incident Management: Lead response on any system-related concerns up to resolution
• Strategic Thinking: Anticipate and proactively address emerging fraud threats.
• Clear Communication: Communicate findings and strategies clearly and concisely.
• Adaptability: Quickly adjust tactics to respond to evolving fraud tactics.
• Collaboration Skills: Work closely with other departments to strengthen fraud prevention/detection efforts.
• Team Leadership: Inspire and guide teams to achieve fraud prevention goals.
• Ethical Conduct: Uphold high ethical standards in all fraud prevention activities.

REQUIRED QUALIFICATIONS

• Minimum of 2 years of experience in product management, fraud management, or risk management, with at least 1 year in a leadership position within the fintech, payments, or financial services industry.
• Familiarity with financial regulations, including Data Privacy, KYC, and AML.
• Experience with data analytics tools is a plus.
• Ability to work with Tech and Products teams to integrate fraud solutions at scale.
• Experience in building and deploying fraud prevention systems and models.
• Experience in SQL Coding (databricks, oracle, etc) and working with visualization tools (PowerBI, Tableau, etc) is a plus.
• Excellent communication skills, with the ability to clearly explain complex technical concepts to non-technical stakeholders.
• Strong analytical skills with the ability to interpret complex data and identify trends.

EDUCATIONAL BACKGROUND

• BS or equivalent degree in Mathematics, Statistics, CS, IT, IS, Data Science, or equivalent fields

DESIRED WORK EXPERIENCE

• Knowledge with fraud management platforms, transaction monitoring, and real-time detection systems.
• Operational work experience to act as SME to advise Fraud prevention, detection, and mitigation strategies.
• In-depth understanding of the unique fraud challenges faced by fintech companies, including payments fraud, account takeover, identity theft, and AML/KYC compliance.
• Excellent communication and interpersonal skills, with the ability to influence stakeholders at all levels.
• Demonstrated ability to thrive in a fast-paced environment and adapt to changing priorities.
• Proven leadership abilities, with experience in building and managing high-performing teams.