Fraud Risk Analytics Associate - Risk, MariBank Experienced (Individual Contributor) Manila Risk Management

Monee

Mandaluyong

On-site

PHP 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Monee, a leader in digital payments and financial services in Southeast Asia, invites an Experienced IC to advance fraud analytics in Manila. You will develop fraud frameworks, support risk management, and supervise rules while coordinating with Technology to deploy system enhancements.

Ortigas/Mandaluyong location is expected. Ideal candidate has 5+ years in bank fraud, a Finance/Analytics-related degree, SQL mastery, and English fluency; Python or SAS and ML experience are a plus.

Qualifications

  • At least 5 years of fraud risk management experience in banking.
  • Bachelor's degree in Finance, Analytics, Statistics, Business or related field.
  • Working knowledge of SQL is a must-have.
  • Proficient in English, written and spoken.
  • Knowledge of Python or SAS is a plus; ML experience is a plus.

Responsibilities

  • Develop and implement the fraud data analytics framework aligned with local and industry standards.
  • Support the Fraud Risk Management Team in assessing fraud control requirements.
  • Supervise the overall fraud rules and authentication management for effectiveness.
  • Develop a fraud database to monitor risk trends and control activities.
  • Collaborate with Technology to deploy fraud-related system enhancements.
  • Assist in enhancing policies to establish risk appetite and key metrics.
  • Assist in preparing fraud risk management reports for regulators and stakeholders.

Skills

Data-driven mindset
Problem solving
Analytical skills
English communication
Deep data dive

Education

Bachelor's degree in Finance, Analytics, Statistics, Business or related discipline

Tools

SQL
Python
SAS

Job description

Experienced (Individual Contributor)

Location Manila

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Its mission is to better the lives of individuals and businesses in the region with financial services through technology.

Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech. By leveraging technology and strategic partnerships, Monee aims to drive greater digital financial inclusion, convenience, and accessibility for individuals and small businesses across Southeast Asia and Latin America.

Monee is part of Sea Limited, a global technology company.

Job Description:
  • Develop and implement the fraud data analytics framework of the Bank that is aligned with the local and industry standards
  • Support the Fraud Risk Management Team in the assessment of fraud control requirements for the upcoming and existing Bank’s products and processes
  • Supervise the overall fraud rule and authentication management by ensuring that the existing fraud rules and authentication models are performing effectively
  • Develop a fraud database for easier monitoring of fraud risk trends and fraud risk control activities
  • Collaborate with Technology Team in the delivery and deployment of fraud related system enhancements
  • Assist the Fraud Risk Management Lead in the enhancement and implementation of policies, specifically in establishing the Bank’s fraud risk appetite and key risk metrics
  • Assist in preparing and providing fraud risk management reports, data, and documentation to internal and external stakeholders including regulators
Requirements:
  • At least 5 years of experience in fraud risk management within a bank setting
  • Bachelor's degree in Finance, Analytics, Statistics, Business or other related discipline
  • Working knowledge of SQL is a must-have
  • Structured, factual, and data-driven. Ability to deep dive into data and elaborate clear and synthetic insights
  • Problem-solving skills and positive constructive attitude is a must
  • Comfortable working in a fast-paced, high-intensity work environment
  • Proficiency in English written and verbal communication
  • Knowledge of Python or SAS is a plus
  • Experience in machine learning is a plus
  • Amenable to work in Ortigas, Mandaluyong City
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