Senior Analytics Consultant - Fraud, AML, Threat Detection

• Pay Rate: Not disclosed

Location: Toronto, ON

Onsite Flexibility: Hybrid — 2 days onsite, Monday mandatory; flexible overall even with core days

• Position Type: Contract
• Contract Duration: 13 months (with potential for extension)
• Pay Rate: Not disclosed
• Shift /
  
  Schedule:
  
  37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday (Flexible)

Reporting to the Director of Fusion Data & Analytics, the Senior Analytics Consultant will collaborate closely with various partners across Lines of Business (LOBs) to analyze data that supports effective incident response and to develop threat detection logic utilizing cross-pillar datasets. The Fusion Data & Analytics team is committed to leveraging data & analytics to safeguard clients, employees, and assets from financial crimes.

In this role, you will conduct data analysis to uncover emerging behaviors and patterns of threat actors concealed within the data.

• Analytics support for incident response – enable swift incident response by supporting any data and analysis needs during incidents. Work closely with Fusion Response team and various business owners to deliver the required data to respond to incidents effectively.
• Threat detection logic development – Use cross-domain data to develop detection logics for various threat scenarios. Work closely with business partners to understand the detection targets and their behaviours to come up with alerts that will mitigate the risk.
• Coaching of junior members – help junior members with the knowledge of data and experience in handling analytics tasks.
• Automation – Support Fusion continuous improvement initiative with automation. Use your programming skills to enable business partners and innovate existing manual processes.
• This role will work closely with various partners across Lines of Business (LOBs).
• As an employee, the incumbent must comply with all applicable policies, standards, guidelines and controls.

• 5 years of experience in data and analytics, especially in the financial crime detection area or incident response, or any related field, with a strong record of impact (Fraud, AML, threat detection, cybersecurity background experience).

• Previous experience at a financial institution.
• Experience with Neo4j – graph database.

• Demonstrated knowledge and experience in data handling and manipulation.
• Proficiency in SQL for data extraction.
• Proficiency in scripting languages like Spark/Python for data cleaning, transformation, and analysis.
• Ability to work effectively in teams and collaborate with stakeholders across different departments.
• Meticulousness in data handling and analysis to ensure accuracy and reliability of results.
• Meticulous with strong attention to detail.
• Autonomous and self-directed.
• Works well in a team environment.

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

• This role operates within a hybrid working environment.
• Potential for overtime (to be confirmed).

• Interview process consists of 2 rounds: the first round (approximately 30 minutes) may include a technical programming test conducted virtually via MS Teams; the second round (approximately 1 hour) will be in-person.

This client is a leading Canadian financial services and banking institution operating across retail, commercial, and capital markets segments, with a significant presence throughout Canada and internationally. The organization employs tens of thousands of professionals — including data analysts, data scientists, investigators, business analysts, and technology specialists — who collaborate across cross-functional teams to detect, prevent, and respond to financial crimes and operational risks.

The Fusion Data & Analytics team at the core of this role brings together people, processes, technology, and data using an integrated, cross-pillar approach to proactively safeguard clients, employees, and assets.

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Industry: Information Technology