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Première détection par notre source: il y a 26 jours

Fraud Detection Analyst

@ Leading Edge

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Hamilton, Ontario

2+ ans d’expérience
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SIGNAUX

En bref

Leading Edge is hiring a Fraud Detection Analyst for its Risk Management team. The role analyzes large datasets to spot fraud patterns and anomalies, builds detection methods, and investigates suspicious activity.

Responsabilités :

  • Analyze large datasets for fraud patterns and anomalies
  • Detect fraudulent transactions using analytics and machine learning
  • Assess fraud risk for new and existing customers
  • Investigate suspicious activity with internal stakeholders
  • Report fraud trends and detection results to management

Résumé des exigences :

  • Bachelor's degree in a quantitative field
  • 2-3 years of fraud detection or risk management experience
  • Proficiency in Excel, SQL and R or Python
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation skills

Outils et compétences

ExcelSQLRPython
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-12
Mise à jour du dossier source
2026-10-12

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDonnées et analytique
Expérience2 an(s) et plus
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesMathematics, Statistics, Computer Science, Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Leading Edge

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Personnes associées sur LinkedIn
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Autres noms enregistrés
  • Leading Edge
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ChampValeur
SecteurNon-profit Organization Management
Siège socialNew York, NY
Offres sur Jobsy48
LinkedInVoir la page
Description

Job Summary:

We are seeking a highly skilled and detail-oriented Fraud Detection Analyst to join our Risk Management team. The successful candidate will be responsible for analyzing data and identifying potential fraud risks to prevent financial losses and protect our customers' assets.

Key Responsibilities:

1. Data Analysis: Analyze large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity.

2. Fraud Detection: Use data analytics and machine learning techniques to detect and prevent fraudulent transactions, such as credit card fraud, identity theft, and account takeover.

3. Risk Assessment: Assess the risk of fraud for new and existing customers, and develop strategies to mitigate those risks.

4. Investigation: Investigate suspicious transactions and activity, and collaborate with internal stakeholders to resolve cases.

5. Reporting: Provide regular reports to management on fraud trends, risks, and detection results.

6. Process Improvement: Continuously evaluate and improve fraud detection processes and procedures.

7. Collaboration: Work closely with cross-functional teams, including Risk Management, Compliance, and Customer Service.

Requirements:

1. Education: Bachelor's degree in a quantitative field, such as Mathematics, Statistics, Computer Science, or Engineering.

2. Experience: Minimum 2-3 years of experience in fraud detection, risk management, or a related field.

3. Technical Skills: Proficiency in data analytics tools, such as Excel, SQL, and statistical software (e.g., R, Python).

4. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data.

5. Communication Skills: Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.

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