Manager AML Risk Analytics

Skillhub Solutions Inc.; Toronto; On-site; CAD 90,000 - 150,000; Full time

Job summary

Skillhub Solutions Inc. is seeking a Manager, AML Risk Analytics in Toronto to lead hands-on quantitative analytics and investigative intelligence efforts across risk strategy, transaction monitoring and operations.

You will analyze threats, develop threat assessments, apply analytics to uncover money-laundering patterns, and present findings to inform risk appetite and controls; strong SQL, Python, Excel, and excellent communication are essential.

Qualifications

• 3–5 years of experience across financial-crime investigation and data analytics, with at least one year in each.
• Experience with at least two financial-crime typologies, two business domains and three payment channels.
• Strong SQL, Python and Excel skills.
• Strong written and verbal communication and problem-solving skills.
• A bachelor's degree and CAMS or another relevant certification are assets.

Responsibilities

• Analyze targeted topics, sectors and threat vectors to produce actionable intelligence.
• Apply investigative analytics, including linked-party and beneficial-ownership analysis, to identify money-laundering schemes, criminal networks and emerging typologies.
• Develop and present threat assessments and intelligence products to inform risk appetite and control enhancements.
• Execute rigorous, repeatable threat analytics methodologies and support scalable capabilities.
• Document methodologies, techniques and best practices, and recommend improvements to analytical processes and tools.

Skills

SQL

Python

Excel

Education

Bachelor's degree

CAMS certification (assets)

Job description

About the role

The Manager, AML Risk Analytics performs hands-on quantitative analytics and investigative intelligence work to identify and help mitigate emerging financial crime threats. The role supports enterprise initiatives across risk strategy, transaction monitoring and investigative operations.

Responsibilities

• Analyze targeted topics, sectors and threat vectors to produce actionable intelligence.
• Apply investigative analytics, including linked-party and beneficial-ownership analysis, to identify money-laundering schemes, criminal networks and emerging typologies.
• Develop and present threat assessments and intelligence products to inform risk appetite and control enhancements.
• Execute rigorous, repeatable threat analytics methodologies and support scalable capabilities.
• Document methodologies, techniques and best practices, and recommend improvements to analytical processes and tools.

Qualifications

• 3–5 years of experience across financial-crime investigation and data analytics, with at least one year in each.
• Experience with at least two financial-crime typologies, two business domains and three payment channels.
• Strong SQL, Python and Excel skills.
• Strong written and verbal communication and problem-solving skills.
• A bachelor's degree and CAMS or another relevant certification are assets.

Position details

Full-time, salaried role based at 20 King Street West, Toronto, Ontario. Applications are accepted until 11:59 p.m. on October 16, 2026.