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Stripe

Risk Strategist

Posted Yesterday
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In-Office
Singapore, SGP
Senior level
In-Office
Singapore, SGP
Senior level
Lead product-risk assessment for local payment methods and product launches: identify scenarios, define controls and requirements, automate workflows with AI/agents and data, set operating approach, define risk metrics, communicate recommendations, and partner cross-functionally to scale and monitor risk controls.
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Who we are

Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and pursue new business opportunities. Our mission is to increase the GDP of the internet. We have significant work ahead, which gives you the opportunity to do important work that expands access to the global economy.

About the team

The APAC Risk team helps Stripe launch and grow products responsibly. We work closely with global Product, Partnerships, and Risk teams to identify product risks early, define practical controls, and make risk decisions easier to execute at scale.

What you’ll do

As a Risk Strategist, you will help Stripe launch new Local Payment Methods (LPMs) and other products safely as part of our broader global expansion efforts. You will be part of a team that identifies, assesses, and manages risk across LPMs and other product launches. Your focus will be on building agent-based workflows that help scale LPM launches and related risk assessments across cross-functional teams.

Responsibilities
  • Identify risk scenarios associated with new products, product changes, and LPM initiatives. Translate those scenarios into clear requirements, controls, and actions for different cross-functional teams
  • Improve and automate product-risk workflows through AI tools, data, and agent-based solutions. Define and build consistent, scalable processes with reduced manual load
  • Help set the risk strategy and operating approach for product launches, including how teams assess risk, record decisions, and monitor outcomes
  • Communicate complex risk issues clearly to technical and non-technical stakeholders, with practical recommendations that support responsible product growth
  • Help define metrics that track risk exposure, control effectiveness, and operational efficiency
  • Build strong working relationships across Risk and Product, and help align teams when trade-offs or ambiguity arise
  • Develop expertise that can support adjacent product-risk areas over time, including fraud
Who you are

You are comfortable working in ambiguous spaces where products, risks, and processes are still being defined. You can reason through risk scenarios, bring structure to complex questions, and work with technical partners to turn recommendations into scalable solutions.

You are also motivated by improving how work gets done. You do not only identify risks. You look for ways to make risk assessment, decision-making, and monitoring more automated, consistent, and useful for the teams building Stripe products.

Minimum requirements
  • 5+ years of experience in risk, financial services, fintech, product strategy, data, or a related field
  • Experience partnering with cross-functional teams, especially Product, Engineering, Data Science, Operations, or Partnerships
  • Strong analytical judgment and the ability to turn complex information into clear recommendations and next steps
  • Familiarity with and a keen interest in building and applying automation, tools, or agent-based workflows to improve processes and outcomes
  • Experience using data to investigate problems, assess performance, or inform decisions
  • Ability to communicate clearly with a range of stakeholders and build alignment across teams with different priorities
Preferred qualifications
  • Experience assessing risk for new products, product launches, or material product changes
  • Experience in payments, product risk, platform risk, fraud, or financial crimes
  • Experience using and building agentic workflows and using AI tools to simplify processes
  • Experience with SQL, data analysis, data science workflows, or building operational tools
  • Experience working with technical teams to define requirements and improve internal systems or processes
  • Familiarity with risk-control design, monitoring, or policy development

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