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Assistant Data Risk Analyst Jobs in Toronto, ON (NOW HIRING)

Data Risk Management, Senior Associate

Toronto, ON ยท On-site

CA$65K - CA$109K/yr

... to assist clients in developing analytics and technology-enabled solutions to solve complex ... As a Senior Associate in the Data Risk Management team, unlock your potential and embrace the ...

Analyst, Credit Risk

Toronto, ON ยท On-site

CA$52K - CA$71K/yr

As a risk analyst, you will contribute to driving business meaning and enhancements to existing ... Conduct in-depth data analysis and interpret complex financial data to identify patterns, trends ...

Provide a broad range of market risk analysis, reporting, monitoring and/or support to business ... Identify data quality issues and contribute to problem resolution * Proactively identify ...

As a risk analyst, you will contribute to driving business meaning and enhancements to existing ... Conduct in-depth data analysis and interpret complex financial data to identify patterns, trends ...

The Legal Risk Analyst is responsible for assessing settlement loan applications, providing a ... * Assist in identifying and implementing process improvements and control procedures * Legal ...

The Legal Risk Analyst is responsible for assessing settlement loan applications, providing a ... * Assist in identifying and implementing process improvements and control procedures * Legal ...

Manager, Data Steward

Toronto, ON ยท On-site

CA$96K - CA$136K/yr

Data & Analytics Pay Details: $96,900 - $136,800 CAD TD is committed to providing fair and ... Attend required data risk training sessions and leverage available resources to maintain ongoing ...

Risk & Payments Compensation: $150K-$200K About the Role We are seeking a strategic and data-driven ... Analyze internal and external data and produce authoritative reports and root-cause analysis on ...

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Assistant Data Risk Analyst information

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analyst. Data analysts, including assistant data risk analysts, are needed to interpret complex data, develop insights, and make strategic decisions that require human judgment and domain expertise. Skills in data visualization, statistical analysis, and understanding AI tools are valuable in this evolving field.

Can I be a data analyst in 3 months?

Becoming a data analyst typically requires several months of dedicated learning in areas such as data analysis, SQL, Excel, and visualization tools like Tableau or Power BI. While some intensive bootcamps or training programs claim to prepare individuals quickly, gaining proficiency usually takes longer than three months, especially without prior experience.

Is risk analyst an entry-level job?

A risk analyst role can be entry-level or require some experience, depending on the organization. Entry-level risk analyst positions typically require basic knowledge of data analysis, risk management principles, and relevant tools like Excel or risk assessment software. Advanced roles may require additional certifications or experience in finance, cybersecurity, or data analysis.

What does an assistant data analyst do?

An assistant data analyst supports data analysis tasks by collecting, cleaning, and organizing data, often using tools like Excel or SQL. They help identify trends and prepare reports under the supervision of senior analysts, gaining experience in data management and analysis techniques.

Senior Cyber Security Risk Analyst

Alquemy

Toronto, ON โ€ข On-site

Other

Posted 17 days ago


Job description

Job Description We are seeking a Senior Cyber Security Risk Analyst to join our Toronto client's team. In this pivotal role, you will lead the creation of comprehensive cyber system risk reports, translating complex technical findings from penetration tests and Threat and Risk Assessments (TRAs) into actionable business insights for senior stakeholders. As a senior member of the team, you will champion industry-standard frameworks and leverage ServiceNow GRC to maintain, mature, and safeguard the organization's overall cyber risk posture.

Key Responsibilities Lead Risk Reporting: Oversee and manage the cyber risk reporting queue, ensuring the delivery of high-quality, executive-ready risk assessments. Apply Standard Methodologies: Utilize NIST and HTRA methodologies to rigorously assess, quantify, and communicate technical risks. Drive GRC Excellence: Document, track, and manage the lifecycle of risks, treatment plans, and remediation efforts within ServiceNow GRC.

Translate Tech to Business: Bridge the gap between engineering and the boardroom by converting complex technical vulnerabilities into clear, high-impact business risk statements for non-technical leadership. Support Governance & Audits: Act as a trusted advisor during governance forums and internal audits, providing articulate verbal and written risk communications. Innovate Securely: Leverage AI-assisted tools to streamline content generation and report optimization, while strictly maintaining data confidentiality and privacy boundaries.

Education & Experience Education: University Degree or College Diploma in Computer Science, Information Security, Risk Management, or a related field. Experience: 5+ years of progressive experience in cyber security, IT audit, or technology risk management. Executive Reporting: 3+ years of dedicated experience crafting executive-grade risk reports and presentations for C-suite or steering committees.

Technical & Core Competencies Framework Expertise: Deep practical experience applying NIST frameworks (e.g., CSF, 800-53) and HTRA methodologies. Tooling: Hands-on, administrative, or advanced user experience with ServiceNow GRC (Integrated Risk Management). Vulnerability Acumen: A strong understanding of common technical vulnerabilities (OWASP Top 10, CVEs) and the unique ability to map them to operational and financial business impacts

Communication: Exceptional communication and storytelling skills, with the ability to influence stakeholders and defend risk ratings with data-driven logic. Relevant professional certifications (e.g., CRISC, CISM, CISSP, or CISA). Experience integrating AI workflows into daily risk analysis safely.