Fraud Risk Consultant

Altis Recruitment; Toronto; Hybrid; CAD 85,000 - 115,000; Full time

Job summary

A leading fintech company in Toronto is seeking a Fraud Risk Consultant with expertise in rule-based fraud detection. The ideal candidate will design fraud detection logic and analyze fraud behaviors, ensuring effective fraud prevention strategies. Fluency in Mandarin is mandatory, along with understanding fraud signals in high-volume digital environments. This role offers a full-time permanent position with a flexible hybrid option after three months.

Qualifications

• Fluent in Mandarin (spoken and written) is mandatory.
• Proven experience setting up fraud rules in banking or financial services context.
• Strong understanding of rule logic and risk tuning.

Responsibilities

• Design and implement rule-based fraud detection logic from scratch.
• Analyze fraud behavior and emerging patterns to set thresholds.
• Collaborate with internal teams to refine operational responses.

Skills

Fluent in Mandarin (spoken and written)

Understanding of fraud signals

Ability to analyze transactional datasets

Knowledge of fraud prevention practices

Tools

FICO

Sift

ThreatMetrix

Job description

Fraud Risk Consultant

Location: Etobicoke, ON (On-site with Flexible Hybrid Option after 3 Months)

Type: Full-time | Permanent

Our client, a growing fintech company transforming how consumers pay and manage rewards, is seeking a Fraud Risk Consultant with deep expertise in rule-based fraud detection, particularly within banking or digital payments environments. This is a fraud risk-focused role, ideal for professionals who have worked with fraud rule engines, understand risk pattern analysis, and can proactively build logic to stay ahead of evolving fraud tactics.

This is a niche set of requirements, and the selected candidate will play a key part in shaping the organization’s fraud strategy moving forward.

Key Responsibilities:

• Design and implement rule-based fraud detection logic from scratch, aligned to real-time transaction risk.
• Build and optimize rule engines using inputs such as device ID, IP address, BIN, geolocation, and transaction velocity.
• Analyze fraud behavior and emerging patterns to set appropriate thresholds and tuning parameters.
• Detect and prevent various fraud vectors including account takeovers (ATOs), scalping, bot activity, and small-dollar transaction abuse.
• Apply device-based risk strategies (e.g., identifying risk from device clusters or abnormal time-of-day transactions).
• Collaborate with internal teams to implement fraud controls and refine operational response to flagged activity.
• Maintain and document fraud rules, outcomes, and performance metrics for ongoing optimization.

Required Qualifications:

• Fluent in Mandarin (spoken and written) – this is a mandatory requirement.
• Strong understanding of fraud signals, rule logic, and risk tuning in high-volume digital environments.
• Proven experience setting up and managing fraud rules in a banking or regulated financial services context.
• Ability to analyze transactional datasets and translate insights into scalable fraud detection rules.
• Knowledge of fraud prevention practices in fintech or digital payments is strongly preferred.

Bonus:

• Experience addressing scalping, ATOs, digital product abuse, or high-velocity fraud.
• Familiarity with fraud tools or platforms such as FICO, Sift, ThreatMetrix, or custom in-house engines.