Risk Operations Lead

At Shakepay, we’re on a mission to usher in the Bitcoin golden age. We’re reimagining financial services to give every Canadian their fair shake.

Our culture is built around doing work that matters, winning as a team, and celebrating success. If you're the kind of person who values growth, shipping fast, and sharing your ideas openly with a group of like-minded people, come and build with us!

Since 2015, we’ve been building the Shakepay app to make buying and earning bitcoin fast, easy, and secure. In 2022, we launched the Shakepay Card, allowing shakers to earn bitcoin rewards when they shop. Today, more than one million Canadians use Shakepay to grow their bitcoin savings and take control of their financial future. 

We’re regulated across all Canadian provinces and territories, and backed by renowned venture capitalists with $44M in funding. We have a passionate, loyal, and growing community, and we’re looking for people who want to help us build something truly special.

As the Risk Operations Lead, you will lead the team responsible for protecting Shakepay and its customers from fraud, abuse, and financial risk while enabling scalable growth and a best-in-class customer experience. You will drive operational excellence across risk operations, evolve our fraud prevention capabilities, and help shape the future of risk management at Shakepay.

This role requires a strong operator with deep experience in fraud and risk, excellent people leadership skills, and the ability to work cross-functionally across engineering, product, design, data, compliance, and operations teams. You are comfortable navigating ambiguity, working within evolving systems and data environments, and balancing risk mitigation with customer experience and operational scalability.

You combine strategic thinking with hands-on execution and are energized by solving complex operational problems in a fast-moving crypto environment.

• Lead and develop the team responsible for protecting Shakepay’s platform and customers from fraud, abuse, scams, and financial risk.
• Own operational performance across fraud operations, including team capacity planning, prioritization, escalation management, and continuous process improvement.
• Act as the DRI for key fraud and risk initiatives, driving alignment and execution across engineering, product, design, data, compliance, and operations teams.
• Drive the evolution of Shakepay’s fraud prevention and risk operations capabilities, balancing automation, controls, customer experience, and operational scalability.
• Work closely with engineering and data teams to improve risk tooling, operational workflows, detection systems, and reporting infrastructure.
• Use data and operational insights to identify emerging fraud trends, improve decisioning strategies, and optimize operational efficiency.
• Champion customer-centric fraud and security experiences across the product journey.
• Help scale risk operations across current and future financial services products while improving cross-functional coordination and reducing operational silos.
• Foster a high-accountability, high-performance team culture through strong coaching, operational rigor, and clear ownership.

• 5+ years of experience leading risk, fraud, trust & safety, or operational risk functions within fintech, crypto, payments, or financial services.
• Strong understanding of the cryptocurrency ecosystem, including blockchain transactions, fraud vectors, scam typologies, and operational risk in digital asset platforms.
• Proven experience managing and coaching high-performing operational teams in fast-paced, high-growth environments.
• Strong cross-functional leadership skills with the ability to act as a DRI across engineering, product, design, data, and operations teams.
• Hands-on analytical and technical proficiency, including SQL and operational data analysis, with the ability to engage deeply on risk tooling, workflows, and infrastructure.
• Experience building scalable, technology-enabled risk operations while balancing automation, controls, and customer experience.
• Pragmatic mindset and comfort operating in imperfect or evolving systems and data environments.

• Quantitative background in data, statistics, mathematics, or related disciplines.
• Experience with machine learning, especially in a risk management function.
• Previous experience in consumer banking.