About DataVisor
DataVisor is the world's leading AI‑powered Fraud and Risk Platform that delivers the best overall detection coverage in the 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. The flexible architecture of DataVisor's platform allows enterprises to power sophisticated and complex use cases across different businesses while dramatically lowering the total cost of ownership. DataVisor is recognized as an industry leader and has been adopted by Fortune 500 companies globally across many industries.
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
As a Senior Technical Account Manager (TAM), you will manage a portfolio of client relationships and establish yourself as a trusted technical advisor and solution partner for the key leaders within the customer's fraud and risk teams. You will partner with our Delivery Team to oversee the customer's data integration and onboarding process. Your goal is to ensure that the customer adopts best practices in the implementation of our platform to ensure they extract the maximum value from their investment. You will engage in broad ranging topics from assessing/debugging platform performance or product functional issues, provide technical guidance and best practices, or advise on customer's use of custom or DataVisor built machine learning models and/or automation rules to detect suspicious activities. You will work cross‑functionally with Customer Success, Engineering, and Product teams to achieve your goals.
Key Responsibilities
Provide product support, escalation, and resolution of technical issues
Architect machine learning and rule‑based solutions for customers' fraud problems
Lead solution deployment deep dive discussions in late stage pre‑sales calls
Understand client use cases and define plans to achieve success criteria
Manage integration and product implementation process for customers
Conduct and coordinate business reviews and presentations with clients
Drive product roadmap by communicating client feedback to internal teams
Attend meetups, events, and conferences as a technical ambassador
Requirements
8+ years of experience in banking, payment, social, or e‑commerce industries, as customer‑facing technical roles e.g. technical account manager or solution consultant
B.A./B.S. degree in a technical or analytical discipline
Excellent communication and presentation skills
Strong time and project management ability with focus to ensure deadlines are met
Experience in fraud detection and risk management is a big plus
Coding and database experience (e.g. Python, Java, SQL) a plus
Based in Ontario, Canada
Benefits
Compensation: Annual salary range of CAD70K to CAD120K
PTO, stock option
#J-18808-Ljbffr
A leading AI-powered fraud detection platform in Calgary is seeking platform engineers to develop their next-generation machine learning systems. The role focuses on improving detection algorithms and automating training processes. Candidates should have significant software development experience primarily in Java, Shell, and Python. The position offers an annual salary range of CAD $120,000 - $150,000 and benefits including health insurance and retirement savings. Requires expertise in big data technologies and machine learning. #J-18808-Ljbffr
Overview
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable 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 significant 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!
We are looking for a data-driven and operationally minded Senior Strategic Financial Analyst to serve as a key architect of our financial planning and reporting infrastructure. In this high-visibility role, you will go beyond traditional reporting to act as a strategic partner to our GTM, R&D, and Operations leaders. You will not only track the numbers but also define how we track them—bridging the gap between our CRM (Salesforce) and Finance systems to ensure data integrity. If you are a proactive problem-solver with 5+ years of experience who loves building models, optimizing deal structures, and uncovering insights that drive revenue efficiency, we want to hear from you.
Responsibilities
Strategic Planning & Metric Architecture
KPI Definition: Design and maintain a comprehensive set of SaaS metrics (e.g., ARR, NRR, CAC, LTV, Magic Number) to track performance across Revenue, R&D, and Support
Financial Modeling: Build and refine sophisticated financial models to analyze revenue streams, customer segmentation, pricing strategies, and sales team productivity
FP&A Leadership: Partner with the VP of Finance to drive the annual budgeting and quarterly forecasting process, incorporating real-time insights from operational data
GTM Operations & Deal Desk Partnership
Deal Strategy: Serve as the financial partner to the Deal Desk and Sales Leadership; analyze pricing, deal profitability, non-standard contract terms, and revenue recognition implications, provide suggestions and input to define and shape the contract and order form structure
Compensation Analysis: Analyze the ROI of sales compensation plans and GTM organizational structure to ensure alignment with company growth targets
Ad-Hoc Strategy: Conduct deep-dive analyses on specific business questions (e.g., new market entry, product margin analysis) to support executive decision-making
Systems, Data Governance & Process Improvement
CRM to Finance Integration: Spearhead the integration between GTM systems (Salesforce) and financial systems (ERP/Planning tools)
Data Governance: Define the "source of truth" for sales data. Implement quality controls to ensure the accurate flow of booking and revenue data into financial reporting
Process Engineering: Develop standardized operating procedures (SOPs) for financial analysis to move the department from ad-hoc reporting to scalable, automated frameworks
Requirements
Experience: 5+ years of progressive experience in FP&A, Strategic Finance, or Sales Operations and equivalent strong analytics experience for business strategies
Industry Background: Prior experience in Enterprise SaaS company and prior private equity or investment banking experience preferred
Technical Stack:
Advanced proficiency in Excel (complex modeling) is required
Strong familiarity with Salesforce (reporting, dashboards, object relationships) is essential
Experience with BI tools (e.g. Tableau, Power BI, Looker, Python) and Planning tools (e.g. Anaplan, Adaptive Insights) is a major plus
Education: Bachelor's degree in Finance, Math, Accounting, Economics, or a related quantitative field. MBA or master degree is a plus
Soft Skills: Proven ability to translate complex financial data into clear, actionable narratives for non-financial stakeholders (Sales, Engineering, Product). Strong communication skills and excellent writing skills. Strong team collaborator, self driven and motivated.
Benefits
Why You\'ll Love This Team:
Impact: You won\'t just report the news; you\'ll help make it by influencing deal structures and operational strategy
Visibility: Direct reporting line to the VP of Finance and regular exposure to GTM leadership
Builder Mindset: Opportunity to design processes from scratch rather than just inheriting them
Compensation
Base Salary Range: CAN 80K to 120K per year
Equity
Benefits
#J-18808-Ljbffr
Overview
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the 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 the 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!
Summary
As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.
What you'll do
Design and build machine learning systems that process data sets from the world's largest consumer services
Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
Build and optimize systems, tools, and validation strategies to support new features
Help design/build distributed real-time systems and features
Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)
Requirements
5+ years software development experience
5+ years experience in Java, Shell, Python development
Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus
Experience in the Spring Framework is a plus
Experience with test-driven development is a plus
Preferred based in Calgary, but could be a fully remote position
Benefits
Compensation:
Annual salary range of CAD $120,000 - $150,000, commensurate with experience. Canada Life Policy. Health Insurance including (Extended Health Care, Vision Care, and Dental Care). Life Insurance, Accidental Insurance. Retirement Savings Plan. Paid Vacation.
#J-18808-Ljbffr
A leading AI-powered fraud and risk platform is seeking a Senior Strategic Financial Analyst to architect financial planning solutions. In this role, the candidate will design key metrics for revenue, build complex financial models, and partner with the VP of Finance. Required qualifications include 5+ years of experience in FP&A, advanced proficiency in Excel, and familiarity with Salesforce. This position offers a competitive salary between CAN 80K and 120K annually, along with equity and benefits. #J-18808-Ljbffr
Become a Senior Technical Account Manager focused on delivering key insights and effective solutions in fraud detection and risk management for diverse clients.
In this influential role, you will serve as the technical advisor for clients, guiding them through the integration of our advanced platform. Your ability to understand the client's unique challenges will allow you to provide tailored support and best practices, ensuring they realize the full potential of our solutions. Your collaboration with internal teams is vital to optimizing product performance and addressing client needs.
Key Responsibilities:
• Resolve technical issues and support product use
• Create tailored machine learning solutions for clients
• Lead detailed discussions during late-stage pre-sales calls
• Analyze client use cases and establish success plans
• Manage product implementation and integration processes
• Coordinate presentations and business reviews with clients
• Influence product roadmap by communicating feedback
• Act as a technical representative at events
Requirements:
• 8+ years in technical account management or solutions consulting
• Degree in a technical or analytical discipline required
• Outstanding communication and presentation abilities
• Strong time management and project focus
• Experience in fraud detection and risk management is a plus
Shape the future of client fraud detection efforts by providing unparalleled technical insight and innovative solutions.
#J-18808-Ljbffr
A leading AI fraud management company in Toronto is seeking a Senior Technical Account Manager to manage client relationships and provide technical expertise. The role involves overseeing data integration and onboarding, ensuring customer success with their fraud and risk solutions. Candidates should have over 8 years of experience in relevant industries, excellent communication skills, and a solid understanding of fraud detection practices. The position offers a competitive salary and benefits, including PTO and stock options. #J-18808-Ljbffr
About DataVisor
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable 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 significant 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.
Summary
Our Delivery Engineering Team is looking for a Delivery Engineer intern (DEI), who is responsible for leveraging our state‑of‑the‑art fraud detection SaaS products to solve our key clients' fraud and risk problems. You provide technical solutions and consultative services of our state‑of‑the‑art fraud detection SaaS products to a portfolio of Fortune 500 customers in FinTech, Banking, E‑commerce industries. From managing detection system performance to debugging product issues, you are an expert who can provide technical guidance and share best practices with customers on using our Machine Learning models, Rules Engine, and Device Intelligence Signals to detect fraud and risks. You work cross‑functionally with Engineering and Product teams to implement new ideas to our analytics solution.
Responsibilities
Work with the Solution Architect to design the delivery solution for the clients
Onboarding for the new client or new use case of existing clients
Coordinate with internal teams like R&D, infrastructure, algorithm and other teams, to debug and fix issues for the clients
Coordinate with the vendors for any issue/requirement and fix/finish
Coding for the integration with the client system
Create documents for the process of each project, including design doc, architecture, training doc etc
Requirements
BS/MS students majoring in Computer Science, Engineering or a related subject, Current Co‑op students who will graduate in winter 2026 or summer 2027
Canadian citizen, permanent resident only
Experience with Linux, Ansible, Docker, K8S etc
Experience with MySQL, Kafka etc
Experience with Spark, Hadoop, Clickhouse, Cassandra is a plus
Experience with coding by Java/Python is a plus
Strong communication skill
Benefits
Gain valuable hands‑on experience
Work closely with experienced professionals in the field
Opportunity to contribute to real projects
Flexible schedule and hybrid work
Competitive pay, range from 20-25 CAD per hour
#J-18808-Ljbffr
A leading AI-powered Fraud and Risk Platform is seeking a Delivery Engineer intern to help solve fraud issues for key clients in FinTech and E-commerce. This role involves designing delivery solutions, onboarding clients, and coordinating with internal teams to debug issues. Ideal candidates are BS/MS students in Computer Science or related fields, with strong communication skills and experience with technologies like Linux and Docker. A flexible schedule and competitive pay between 20-25 CAD per hour are offered. #J-18808-Ljbffr
Lead technical project management initiatives while enhancing client service delivery as an effective Technical Project Manager. Ensure seamless integration of solutions meeting client expectations in real-time.
In this pivotal position, you will engage with clients, sales teams, and internal stakeholders to deliver successful project outcomes. By managing project timelines and engineering efforts, you will facilitate smooth onboarding processes and technology integrations. Your technical background will be essential for deriving the best solutions tailored to complex client requirements.
Key Responsibilities:
• Drive client communications throughout project lifecycle
• Align various stakeholders for successful outcomes
• Analyze client business logic to recommend solutions
• Ensure project onboarding adheres to requirements
• Provide technical insights during phases of implementation
Requirements:
• Bachelor's degree in Computer Science or related field
• Basic knowledge of software development and system concepts
• Proficient communication skills for both audiences
• Collaborative mindset for multi-project support
• Interest in anti-fraud mechanisms in industry
Channel your technical expertise to implement strategies that drive client engagement and project success effectively.
#J-18808-Ljbffr
