First seen by our source: 25 days ago
Fraud Detection Analyst
@ Leading Edge
Hamilton, Ontario
Overview
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.
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-12
- Source record updated
- 2026-10-12
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Data & analytics |
| Experience | 2+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Mathematics, Statistics, Computer Science, Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Leading Edge
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- People associated on LinkedIn
- 71
- Other recorded names
- Leading Edge
| Field | Value |
|---|---|
| Industry | Non-profit Organization Management |
| Headquarters | New York, NY |
| Open jobs on Jobsy | 48 |
| View page |
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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