Senior Analyst, Fraud Strategy & Risk Analytics

Paramount Commerce; Canada; On-site; CAD 80,000 - 100,000; Full time

Job summary

Paramount Commerce is seeking a Senior Analyst to enhance its fraud strategy and risk analytics. The ideal candidate will implement data-driven fraud controls, manage risks, and design analytical tools to protect payment products. If you have a strong analytical background and a passion for fraud prevention, join our innovative team!

Qualifications

• 3–5 years in risk management, fraud strategy, or fraud analytics within payments.
• Proven success designing and implementing fraud controls.
• Experience with data-visualisation tools to monitor KPIs.

Responsibilities

• Design and implement data-driven fraud controls.
• Monitor and optimize risk performance through KPI analysis.
• Lead investigations and reporting on high-severity cases.

Skills

SQL

Python

Data-visualisation

Statistical reasoning

Fraud detection

Education

Bachelor’s or Master’s in Data Science, Mathematics, Statistics, Computer Science

Tools

Fraud-management platforms

Job description

We are Paramount Commerce, a leading fintech company focused on simplifying payments in Canada. Since the early 2000s, we have redefined online purchasing by introducing a way to pay directly from a bank account, bypassing credit cards or e-wallets. Our commitment is to provide the highest standards of security and risk management that support seamless payments and rich data.

As we strengthen our position in Canada, we are strategically positioning ourselves for global expansion. To achieve our goals, we are seeking talented professionals who can push the boundaries of innovation, contributing to our growth across Canada and worldwide. Join us at Paramount Commerce, where we not only follow fintech trends but shape them

We are seeking a Senior Analyst, Fraud Strategy & Risk Analytics who will be a data-driven fraud specialist responsible for designing, building, implementing and continuously enhancing the controls that safeguard the organization’s payment products from fraud and financial-crime threats. Reporting to the Head of Risk Management, the role will work hands-on with large transactional datasets and advanced risk platforms to analyse, detect, and mitigate evolving fraud schemes. The role will also drive the maturation of the organization’s fraud-risk framework, transaction-monitoring systems, and risk analytics capabilities.

What will you do?

• Design and implement data-driven fraud controls by developing, back-testing, and deploying advanced rules and features in the real-time risk engine, with a focus on maximizing detection and minimizing false positives;
• Monitor and optimize risk performance by tracking key portfolio KPIs such as chargebacks, rule effectiveness, and false-positive rates, and recommend enhancements to stay ahead of emerging threats;
• Analyze emerging fraud typologies by mining transactional, behavioral, and third-party data to identify new attack vectors and translate insights into scalable mitigations;
• Support compliance monitoring by enhancing AML/ATF transaction-monitoring controls and systems;
• Build analytical tools by partnering with Data Scientists and Engineers to deliver dashboards and solutions that provide Risk, Compliance, and Product teams with real-time visibility into fraud metrics and patterns;
• Drive cross-functional alignment by collaborating with Risk, Compliance, Product, Engineering, Operations, and vendor partners to embed fraud controls and ensure comprehensive end-to-end coverage;
• Lead investigations and reporting by conducting deep-dive analyses on high-severity cases and prepare executive summaries with clear, actionable recommendations;
• Manage the risk engine by liaising with platform vendors to maintain SLAs, ensure data quality, oversee ongoing calibration, and implement feature upgrades;
• Assist in advancing machine-learning capabilities for anomaly detection, real-time scoring, and fraud mitigation.

What we are looking for?

Minimum qualifications

• Bachelor’s or Master’s in Data Science, Mathematics, Statistics, Computer Science, or a related quantitative field;
• 3–5 years in risk management, fraud strategy, or fraud analytics within payments;
• Proven success designing, tuning, and implementing fraud controls in production environments;
• Strong SQL and Python skills applied in a business setting;
• Experience with data-visualisation tools to monitor, track, and analyse KPIs and fraud patterns;
• Solid statistical reasoning and the ability to turn complex analysis into actionable recommendations;
• Innate curiosity about fraud patterns and a drive to find root causes;
• Self-motivation and the ability to work both independently and collaboratively;
• Excellent written and verbal communication.

Preferred qualifications

• Hands-on experience with fraud-management platforms;
• Familiarity with machine-learning workflows and collaboration with data-science teams;
• Exposure to bank payment rails (EFT, Interac, ACH) and their associated risk signals;
• Working knowledge of AML/ATF transaction-monitoring systems and sanctions screening.

At Paramount Commerce, we are proud to be an equal opportunity employer. We practice ethical and fair hiring processes and strongly encourage applications from diverse backgrounds. Accommodations are available on request for candidates taking part in all aspects of the selection process.

We are committed to creating a place for our employees to be their authentic selves. We believe diversity of thought, background, and experience are essential to achieve our mission to simplify payments.

By submitting an application to us, you acknowledge, understand, and agree to our use of your personal data as set out in our Recruitment Privacy Notice. Read more about our Recruitment Privacy Notice.

http://paramountcommerce.com/recruitmentprivacy/Paramount_Commerce_Recruitment_Privacy_Notice.pdf