ositionSizigi is partnering with a leading public technology company to help them hire a Finance Manager, Fraud Risk Management.
You will actively engage with business stakeholders to build the tools and processes needed to detect and mitigate fraud risks across the fraud lifecycle, from acquisition and conversion, and customer account security, to renewals and chargebacks.
You will have a seat at the table in discussions related to implementing technology, working with third parties and / or internal operations teams, fraud, and chargeback management decision-making for existing and new products.
Key ResponsibilitiesDevelop periodic and ad-hoc analyses to identify and mitigate financial risks related to credit cards, account takeovers, and chargebacks.
Ensure financial plans, forecasts, and reporting appropriately reflect fraud and chargeback risks.Collaborate with cross-functional teams and provide recommendations based on data, KPIs, and desired financial outcomes, and enable the implementation of related mitigation strategies.
Understand and recommend insights to improve fraud rules, scoring, and detection strategies achieving a successful balance of risk mitigation and customer acquisition and experience.
Build effective relationships within and outside the Finance and Information Security organizations to help ensure successful and timely execution of key portfolio priorities.
Interface with third-party vendors, including payment processors, payment gateways, and fraud management technology providers, to ensure adherence to fraud tolerance levels and KPIs.
Prioritize and provide a clear line of sight to the most critical work to partners and team members.Continually assess manual and automated processes to identify potential process gaps and opportunities.
Desired Experience And SkillsAdvanced degree in Mathematics, Accounting, Finance, Business Administration, Statistics, or closely related quantitative discipline.
5+ years of experience in Finance, or Business Analytics in a B2C technology, eCommerce, or content / media organization.
Experience working with recurring revenue models, i.e., subscriptions or membership, is a plusAdvanced modeling skills in Excel, SQL, or equivalent query languages, and Tableau or similar business intelligence or data visualization tools.
Solid understanding of how fraud and abuse affect a company’s financial performance.#J-18808-Ljbffr
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