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Risk Control Specialist - Mandaring Speaking (PH, WFH)

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Risk Control Specialist - Mandaring Speaking (PH, WFH)

ConnectOS

Risk Control Specialist - Mandaring Speaking (PH, WFH)

Skills

SQL QueriesTableauPythonWeb3Data AnalysisMachine LearningMetabaseCustomer SupportCompliance

1 month ago

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Important information


Contract type:

Permanent

Work mode:

Remote

Published on:

21 September 2026

What they need


Working Schedule: Monday - Friday (10am - 7pm PH) | Is not expected to operate on a 24/7 rotation

Work Set-Up: WFH

Holiday Followed: PH Holiday

Responsibilities

  • Risk analysis and pattern identification: Use transaction and user behaviour data to identify risk patterns in card-based deposit/withdrawal flows, including fraud, cash-out abuse, stolen card/card-not-present (CNP) fraud, and malicious chargebacks. Produce risk analysis reports.
  • Strategy development and optimisation: Independently design, deploy, and tune risk control strategies (blacklists/whitelists, rule engines, risk scoring, etc.), covering application-level anti-fraud, transaction-level anti-fraud, and account risk monitoring.
  • Case investigation and remediation: Conduct in-depth analysis of suspicious transactions and organised fraud rings, and translate findings into playbooks that feed back into strategy improvements.
  • Metrics monitoring and review: Continuously monitor core metrics such as strategy hit rate, false-positive rate, and fraud loss rate, with regular reviews and iteration.
  • Cross-functional collaboration: Work closely with product, engineering, compliance, customer support, banks, and card networks to drive risk issues through to resolution.

Requirements: 2. Technical expertise 3. Mindset and qualities 4. Data analysis skills

  • Experience

  • 2+ years of relevant risk control experience, with hands-on experience in at least one of the following:

  • Crypto exchanges / Web3 payment platforms.

  • Cross-border payment platforms.

  • Payment anti-fraud platforms.

  • Familiar with risk points across the card deposit/withdrawal chain (3DS, chargebacks, cash-out abuse, stolen/CNP fraud, etc.).

  • Familiar with risk control logic for prepaid/virtual card issuance (application anti-fraud, transaction monitoring, money laundering detection, etc.).

  • Able to independently design and implement risk strategies, with a quantitative mindset around measuring strategy effectiveness.

  • Data-sensitive with clear logical thinking; able to spot risk patterns within large datasets.

  • Highly self-driven; able to independently push issues to resolution rather than relying on being assigned tasks.

  • Resilient under pressure; able to respond to sudden risk events.

  • Proficiency in SQL with the ability to independently extract and analyse data is required;

  • Experience with Python and/or BI tools (Tableau, Metabase, etc.) is a plus.

  • Language skills

  • Fluent in both Mandarin and English (spoken and written).

  • Other pluses

  • Experience applying risk models / machine learning.

  • Familiarity with major card network rules (Visa VAMP, Mastercard Excessive Chargeback Program, etc.).

  • Knowledge of overseas regulatory frameworks (MSB, MiCA, VASP, etc.).

Join the awesome team and enjoy these benefits & perks:

  • Permanent WFH Arrangement
  • Medical, Dental Coverage and Life insurance from day 1 of employment
  • Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
  • Competitive salary package and annual appraisal
  • Financial Assistance Program
  • Mandatory Government Benefits and 13th Month Pay
  • Complimentary Sleeping Quarters, Coffee at no cost
  • Complimentary Office Fitness and Wellness Facilities at no cost
  • Regular Company Events, Work Life Balance, and Career growth opportunities
  • Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

JOIN CONNECTOS NOW! ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

#ConnectOSCareers #JoinConnectOS #ConnnectOSNonTech

Equal Employment Statement Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.

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