Intermediate Data Analyst

Request ID:

Duration: 12 months

Hybrid – Currently twice a week in office; starting February, once a week

Location: Toronto (CC East, moving to CIBC Square in February)

Position Title:

IT – Data Analyst (Intermediate)

________________________________________

Line of Business:

Cyber Security – Third Party & Resilience

________________________________________

Reason for Opening:

The team requires 12 months of support to manage BAU activities such as incident analytics while expanding engagements with other teams. The role involves threat detection, use case development, and automation. The ideal candidate is not a data scientist, but a data analyst with strong technical skills (Python, SQL) and a background in fraud, AML, corporate security, and cyber investigations. An investigator mindset is highly valued.

________________________________________

Project Scope:

• Incident analytics support
• Threat detection use case development
• Automation of manual processes

________________________________________

Start Date:

ASAP (January)

________________________________________

Duration:

12 months

Potential for extension or conversion to FTE: TBD

________________________________________

Work Arrangement:

Hybrid – Currently twice a week in office; starting February, once a week

Location: Toronto (CC East, moving to CIBC Square in February)

________________________________________

Schedule:

37.5 hours/week, Monday–Friday

No expected overtime

________________________________________

Interview Process:

Approx. 2 virtual rounds

________________________________________

Team Size:

~6 team members

________________________________________

Daily Collaboration:

Work closely with investigation teams; interest in investigations is a plus.

________________________________________

Experience Level:

Flexible – some professional experience required (not a fresh graduate)

________________________________________

Must-Have Skills:

• Strong technical analytics skills (SQL, Python)
• Experience with PySpark (ideal but not mandatory)
• Solid understanding of Corporate Security, AML, Fraud, and Cybersecurity
• Background in fraud investigation or similar roles, with an investigator mindset
• Business acumen combined with technical skills (data analyst with investigative and threat detection experience)
• Familiarity with threat detection, incident analytics, and use case development
• Excellent communication skills and ability to take initiative

________________________________________

Nice-to-Have:

• Experience with documentation and administrative tasks to support technical work organization

JOB DESCRIPTION

Reporting to the Director of Fusion Data & Analytics, the 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 CIBC 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.

How you'll succeed

• 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.
• Automation - Support Fusion continuous improvement initiative with automation. Use your programming skills to enable business partners and innovate existing manual processes.
• Documentation – Document data models, threat detection logic and business background of use cases, and various other day to day task

Who you are

• You can demonstrate knowledge and experience in data handling and manipulation. Proficiency in SQL for data extraction, and scripting languages like Spark/Python for data cleaning, transformation, and analysis are highly valued.
• You have an interest in supporting incident response from data and analytics perspective. Fusion Data & Analytics support various incidents across LOBs by delivering required data or analysis to help facilitate the swift response to wide variety of incidents.
• You have an interest in threat detection. Fusion aims to detect cross-domain threats that involves various risks including Fraud, money laundering, cyber and insider threats by using data and analytics.
• You are a team player. You work effectively in teams and collaborate with stakeholders across different departments.
• You have eyes for detail. Meticulousness in data handling and analysis is critical to ensure accuracy and reliability of results.
• Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

Job Type: Fixed term contract

Contract length: 12 months

Pay: $50.00-$68.00 per hour

Expected hours: 37.5 per week

Work Location: Hybrid remote in Toronto, ON