Head of Global Payment Risk
San Jose
hace 2 días

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!


Adobe is building a global payments function and recruiting a experienced individual to lead our payments risk / fraud team.

In this role you will own the relationship with our external risk decisioning provider to uplevel our ability to block BOT attacks and prevent fraudulent transactions at Adobe.

com checkout. You’ll balance the sensitive ratio of false positives to false negatives, and evolve prevention strategies to drive Adobe’s business objectives.

You will create and oversee payment risk policies and build programs that prevent, detect, identify and resolve fraudulent activity by customers, potential customers, and outside agents.

You will interface with the risk teams at large issuing banks around the world and influence how they decision Adobe transactions.

You will have the latitude to run tests, take risks and monitor performance with a control group that informs your ability to unock false positives around the world by supporting strategies with advanced statistical and data and analytics.

With many opportunities in front you, this role requires big picture strategic thinking along with deep technical capabilities to prioritize high value opportunities.


  • Mitigate fraudulent payment activity across several payment instruments (credit / debit cards, SEPA, PayPal and alternative payment methods) around the globe by working with Aodbe’s external risk decisioning provider and internal ML team.
  • Partner closely with internal stakeholder organizations across Adobe including Risk / Abuse team, Chargeback team, ML Decisioning Engineers, Product Management, Payments Partnerships and Finance.
  • Establish Fraud Prevention capabilities based on predictive decisioning models that you will build for Adobe to align with industry best-practices to detect new forms of fraud and respond through disposition, mitigation, and effective containment.
  • Implement improvements that raise the barriers against new threats by influencing the revision of business processes and decision-making capabilities, and through detailed auditing and validation of these processes following implementation of these changes.
  • Establish predictive, analytical processes for external benchmarking against industry best-practices in the form of Key Performance Indicators (False Posirives, False Negatives, Chargebacks), and establish an internal control group to measue decisioning effectiveness.
  • Bring a disciplined, analytical and methodical approach to a space that can be highly reactionary and chaotic from the ever evolving fraudulent attacks in the online space.
  • Define and manage risk control measurements, implement quantitative monitoring metrics, and align internal risk teams and external risk decisioning providering on risk control numeric goals, promote impact-oriented, data -driven data science practices.
  • Experiment imental design & hypothesis testing control groups


  • Proficiency in data science analytical tools , such as SQL, Python, Tableau etc. along with proven experience in validation and evaluation of machine learning models.
  • 10 years of optimizing margin-risk-experience trade-offs by applying statistical and / or ML models to derive risk mitigation strategies in a large-scale data environment,
  • Experience defining and managing a statistically significant, global payment control group in a multi-product portfolio to detect False Positives and define new strategies based on internal ML decisioning and external risk decisioning from a 3rd party decision provider.
  • Strong payments risk / fraud industry experience in relevant data mining domains, including anti-fraud / abuse, credit card and bank transfer abuse and financial risk control
  • People management experience (full time employees and contractors) is required along with an ability to influence others in a highly matrixed organization.
  • Strong technical skills with a focus on data access, data queries and data drived investigations (storage, extract, transform, etc.
  • is required. Analytical strength is a must.

  • Bachelor's degree in computer science, behavioral science, decision and analytics science, or related fields.
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