Data Scientist Machine Learning (Financial Services)

Recrute Action

Not Interested
Bookmark
Report This Job

profile Job Location:

Toronto - Canada

profile Monthly Salary: $ 51 - 51
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Scientist / Machine Learning (Financial Services)

Strategic and highly visible consulting opportunity in the insurance industry for a senior digital analytics expert. Use Python SQL and Tableau to lead advanced audit analytics data automation and risk insights. Hybrid role in Toronto with global collaboration executive exposure and hands-on data science application.

What is in it for you:

Salaried: $51 per hour.
Incorporated Business Rate: $60 per hour.
5-month contract.
Full-time position: 37.50 hours per week.
Hybrid role 2 days per week in Toronto office.
Join a passionate and inclusive team of professionals.

Responsibilities:

Own and deliver analytical project planning and execution for audit and advisory engagements.
Define scope objectives and deliverables with audit teams and perform data analytics procedures to evaluate controls and business objectives.
Generate analytics insights identify outliers or anomalies and support automation in audit processes.
Collaborate with IT and business stakeholders to access and interpret data structures and sources.
Develop access plans gather data and document system and business process knowledge for future reuse.
Lead initiatives in audit digitization including continuous auditing automated monitoring and process automation.
Apply programming statistics data visualization ML Ops and machine learning to identify control gaps and enhance assurance quality.
Contribute to shaping audit strategy and policies driving continuous improvement using technology.
Design and deliver analytics training in SQL Python and Tableau for internal audit teams.
Build relationships with audit stakeholders and internal/external analytics communities.

What you will need to succeed:

Advanced degree in a quantitative discipline such as Data Science AI Engineering Operations Research Computer Science Statistics or Mathematics.
8 years of experience in the financial or insurance industry.
5 years of experience in data science or machine learning roles.
2 years of experience developing and productionizing NLP or generative AI models; GitHub portfolio of relevant work is preferred.
57 years of hands-on experience with SQL and Python including libraries such as NumPy pandas matplotlib and scikit-learn
Proficiency in data visualization tools such as Tableau or Power BI.
Demonstrated ability to create executive-level dashboards and storytelling visualizations.
Strong written and verbal communication skills.
Ability to influence across all organizational levels and work through ambiguity.
Deep knowledge of IT data analytics digital processes and internal controls in a corporate environment.
Practical experience with statistical analysis techniques such as regression clustering and decision trees.
Familiarity with AWS SageMaker and machine learning pipelines.
Knowledge of digital platforms web mobile personalization and AI technologies.
Bonus: Experience with audit analytics tools such as Archer Arbutus Alteryx or Dataiku.

Why Recruit Action

Recruit Action (agency permit: AP-2000003) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.

# SLFJP



Required Skills:

Cloud Security Architect Drive AWS cloud security strategy in the insurance industry with a senior-level role focused on secure architecture compliance and automation. Leverage your expertise in AWS services threat detection and identity management in a hybrid multi-account environment. Opportunity to lead security-by-design in a regulated sector. What is in it for you: Salaried: $90-95 per hour. Incorporated Business Rate: $104-109 per hour. 12-month contract with the potential for permanent employment. Full-time position: 37.50 hours per week. Hybrid model 3 days per week on-site. Attendance on Tuesday and Wednesday is mandatory. Responsibilities: Design and implement secure landing zones using AWS Control Tower AWS Organizations and Service Control Policies (SCPs). Define multi-account security guardrails for shared services workloads and sandbox environments. Create reference architectures covering security zones network segmentation and cross-account communication (PrivateLink AWS WAN). Lead threat modelling and risk assessments for new workloads and services including Lambda ECS EC2 S3 RDS and DynamoDB. Develop security-by-design templates integrated into Infrastructure as Code (IaC) pipelines. Partner with compliance teams to maintain continuous alignment with CIS Benchmarks and organizational risk frameworks. Implement federated access and single sign-on with AWS IAM Identity Center (AWS SSO) Okta and Azure AD. Manage cross-account roles STS trust policies and temporary credentials for developers and third parties. Automate secret and credential rotation with AWS Secrets Manager and AWS Systems Manager Parameter Store. Enforce encryption at rest using AWS KMS CloudHSM and envelope encryption patterns. Ensure encryption in transit (TLS 1.2/1.3) across internal and public endpoints. Manage key rotation cross-region replication and HSM-based root of trust. Implement S3 Object Lock Macie for data discovery and classification and Access Points for fine-grained data access. Implement PrivateLink AWS WAN and Route 53 Resolver endpoints for service-to-service isolation. Configure Web Application Firewall (WAF) and AWS Shield Advanced for DDoS mitigation. Enforce egress control through Cloud NAT AWS Gateway Load Balancer (GWLB) or custom proxies. Deploy and integrate AWS Security Hub GuardDuty Macie and Inspector for proactive threat detection. Configure Amazon Detective for forensic investigation and anomaly correlation. Integrate findings into SIEM/SOAR platforms such as FortiSOAR or Azure Sentinel. Automate response playbooks with AWS Step Functions Lambda and SNS alerts. Implement AWS Config rules and Conformance Packs to enforce compliance with benchmarks like CIS AWS Foundations. Use AWS Artifact for vendor assurance and control documentation. Manage compliance dashboards via Security Hub Trusted Advisor and Control Tower drift detection. What you will need to succeed: Bachelors degree in Computer Science Information Security or related field. AWS Certified Security Specialty. AWS Certified Solutions Architect Professional. CISSP CISM CCSP GCSA or GIAC Cloud Security Automation certification. 8 years of experience in cybersecurity. 4 years of experience in AWS cloud security architecture. Deep understanding of the AWS Well-Architected Framework (Security Pillar). Strong hands-on expertise in AWS identity and access management encryption network segmentation and compliance. Familiarity with AWS security services including GuardDuty Inspector Security Hub and Macie. Experience automating security controls using AWS native tools and IaC pipelines. Proficiency in incident response using Step Functions Lambda and Systems Manager. Experience integrating with SIEM/SOAR platforms such as FortiSOAR or Azure Sentinel. Why Recruit Action Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted. # AVICJP

Data Scientist / Machine Learning (Financial Services)Strategic and highly visible consulting opportunity in the insurance industry for a senior digital analytics expert. Use Python SQL and Tableau to lead advanced audit analytics data automation and risk insights. Hybrid role in Toronto with global...
View more view more

Company Industry

IT Services and IT Consulting

Key Skills

  • Electro Mechanical
  • Instrument Maintenance
  • Adobe Dreamweaver
  • Document Control Management
  • E-Commerce