
51 - 200 employees
💸 Finance
💳 Fintech
☁️ SaaS
💰 Series C on 2019-10
Finance • Fintech • SaaS
DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.
🕒 May 25
🇨🇦 Canada – Remote
💵 C$80k - C$120k / year
⏰ Full Time
🟠 Senior
💸 Financial Planning and Analysis (FP&A)
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51 - 200 employees
💸 Finance
💳 Fintech
☁️ SaaS
💰 Series C on 2019-10
Finance • Fintech • SaaS
DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.
• 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. • 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. • 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.
• 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.
• 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.
Apply Now🕒 May 23
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