Data Scientist -Python, SQL, Splunk (Hybrid)

Data Scientist

Role Overview: Establish and sustain the Threat Monitoring and Triage pillar — covering daily alert review, triage decisions, investigations, and audit-ready documentation.

Key Responsibilities

• Monitor and triage inbound alerts across threat, fraud, and operational domains
• Initiate and track investigations with accountable owners
• Document triage decisions and closures in audit-ready logs
• Identify data quality issues, patterns, and escalation needs
• Partner with automation engineers to reduce manual triage effort

Must-Have Skills

• Python, SQL, Databricks, Splunk (or equivalent SIEM/monitoring platform)
• Alert triage, signal analysis, false positive reduction
• Dashboard experience (Splunk, Dynatrace, or similar)
• Experience in security ops, fraud ops, or operational risk

Nice to Have: ML/AI, Datadog, TMX, BioCatch, ServiceNow, Jira

Work model: Hybrid

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position open to qualified applicants in Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

• Please note, this role is not able to offer visa transfer or sponsorship now or in the future*