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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : end python (columbus)

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SENIOR FRAUD STRATEGY LEAD

Finlink Group
Scarborough, ON

Postuler rapidement

Détails du poste

Temps plein
Il y a 12 jours

Compétences

Mandarin
Modélisation de données
Statistique
Informatique
Ingénierie
R
E-commerce
Finance
SQL
Esprit d'analyse
Apprentissage automatique
Python

Description complète du poste

SENIOR FRAUD STRATEGY LEAD

A growing digital payments environment needs sharp minds who can stay ahead of evolving fraud patterns. This role is built for someone who enjoys working at the intersection of data, risk, and product, turning complex transaction signals into clear, scalable protection strategies. You’ll play a central part in strengthening payment integrity while ensuring smooth, trusted experiences for users. This position focuses on designing and executing fraud and risk strategies that support long-term business growth while keeping financial exposure under control. The work blends analytical deep-dives, hands-on investigation, and close collaboration with technical teams to embed fraud prevention directly into systems and workflows. You’ll be expected to move fluidly between strategy development, data analysis, and operational execution, identifying emerging risks early and translating them into practical, automated safeguards.

Key Responsibilities

Build and drive end-to-end fraud and risk strategies, from identifying vulnerabilities through to design, testing, rollout, and ongoing performance evaluation
Detect, investigate, and track suspicious or abnormal transaction behavior, identifying key drivers behind shifts in fraud trends and payment patterns
Conduct detailed analysis of internal and external datasets, producing clear insights, reporting, and root-cause breakdowns of fraud and chargeback activity
Partner closely with engineering and product teams to design and implement scalable fraud prevention systems that balance growth with protection
Serve as a key point of contact for payment processors and external vendors, ensuring alignment on fraud controls, issue resolution, and system improvements
Continuously refine detection approaches based on evolving fraud tactics and business needs

What We’re Looking For

The right person combines strong analytical thinking with practical fraud expertise and a mindset geared toward problem-solving in fast-moving environments.

5+ years of professional experience, including at least 3 years focused on fraud and 1+ year in payments
Experience working across multiple payment methods, ideally in e-commerce or digital transactions with multi-currency exposure
Proven ability to investigate fraud cases and identify suspicious transaction behavior through hands-on analysis
Strong SQL skills with the ability to independently work with large, complex datasets
3+ years of experience in data modeling for fraud detection, including anomaly detection, user risk scoring, and feature engineering
Experience building and deploying machine learning models (Python or R; tools such as Sklearn, XGBoost, LightGBM, etc.) into production systems
Familiarity with integrating models into automated risk or decisioning pipelines
Background in roles such as Fraud Analyst, Risk Analyst, Data Scientist, Operations Specialist, or Product Manager
Degree in Engineering, Computer Science, Statistics, Finance, or a related analytical field
Strong ability to think like an attacker, anticipating how fraud can occur and proactively designing defenses
Mandarin language skills are a plus

This role suits someone who thrives in complex, data-heavy environments and enjoys turning ambiguity into structured, scalable solutions. If you like digging into patterns, challenging assumptions, and building systems that prevent problems before they happen, this is a strong fit.

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