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Entry Level Fraud Risk Management Jobs in Toronto, ON

Delivery Engineer - Canada

Toronto, ON · On-site

CA$80K - CA$120K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Manage and drive client communications throughout the entire project delivery, align different ...

Delivery Engineer - Canada

Toronto, ON · Remote

CA$80K - CA$120K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Manage and drive client communications throughout the entire project delivery, align different ...

... design, fraud, customer acquisitions, customer management strategy, and more - and analysts ... creating risk models, and testing hypotheses using rigorous monitoring and analysis. Basic ...

... fraud detection risk analytics and customer intelligence initiatives You will work closely with ... Implement and manage data ingestion transformation and normalization logic * Collaborate with ...

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Entry Level Fraud Risk Management information

What is the difference between Entry Level Fraud Risk Management vs Fraud Analyst?

AspectEntry Level Fraud Risk ManagementFraud Analyst
CertificationsBasic certifications like ACFE's Certified Fraud Examiner (CFE) or relevant courseworkSimilar certifications, often including CFE or related financial certifications
Work EnvironmentFinancial institutions, retail, or e-commerce companies focusing on risk assessmentBanking, insurance, or retail sectors analyzing fraud patterns and investigations
Employer UsageEntry-level role supporting fraud prevention strategiesAnalyzing data to detect and prevent fraud, often with more investigative responsibilities

Entry Level Fraud Risk Management focuses on supporting fraud prevention strategies and risk assessments, often with a broader scope. Fraud Analysts typically perform detailed investigations and data analysis to identify specific fraudulent activities. Both roles require similar certifications and work in related environments, but Fraud Analysts tend to have more specialized investigative duties.

What are the most commonly searched types of Fraud Risk Management jobs in Toronto, ON? The most popular types of Fraud Risk Management jobs in Toronto, ON are:
Sr. Technical Project Manager - Client Service Delivery

Sr. Technical Project Manager - Client Service Delivery

DataVisor

Toronto, ON

CA$120K - CA$170K/yr

Full-time

Medical, PTO

Re-posted 18 days ago


Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:
We are seeking a highly skilled technical Project Manager to join the client service team. On one hand this is a client-facing service delivery manger role. The ideal candidate will be managing all client communications and driving overall delivery schedule, be responsible for designing and implementing innovative integration solutions that meet our client's technical and business requirements. This role involves working closely with clients, sales teams, and other stakeholders to ensure successful project outcomes. On another hand, this is a technical delivery role. The candidate will be responsible for driving and managing all engineering threads in order to deliver the project, and conduct technical hands-on work as needed. This is also a technical hands-on role.

Key Responsibilities:

  • Manage and drive client communications throughout the entire delivery, align different client stakeholders, ensure project is delivered successfully without delay.
  • Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
  • Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
  • Take the project management role to ensure the client onboarding project runs as expected and under control.
  • Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
  • Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
  • Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
  • Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Requirements

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a technical Project Manager or in a similar technical role.
  • Strong understanding of software development, system architecture, and integration principles. Strong solutioning skills on Saas platform data integration.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong client-facing communication skills and consultant/client management capabilities.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
  • Creative problem-solving skills and a results-oriented mindset.
  • Knowing auti-fraud in the Financial or internet industry will be a plus.
  • Experience in real-time computing, big data, or machine learning will be a plus.

Benefits

Health Insurance, PTO

The expected base salary range for this role is CAD $120,000 - $170,000 per year, depending on experience, skills, and location. This position may also be eligible for bonus, equity, and benefits.