Senior Fraud & Transaction Monitoring Engineering Manager

Who you are

You have a strong technical background with experience in fraud detection and transaction monitoring systems — you've led teams in building and optimizing analytical frameworks that enhance security and compliance. Your expertise in data flows and rule engines is complemented by a deep understanding of behavioral signals that inform fraud prevention strategies.

You thrive in collaborative environments, working closely with cross-functional teams including Data Engineering and Risk Analytics — your ability to communicate complex technical concepts to non-technical stakeholders sets you apart. You are committed to fostering a diverse and inclusive workplace, believing that varied perspectives lead to innovative solutions.

Your leadership style is hands-on and supportive — you enjoy mentoring team members and guiding them through technical challenges while encouraging their professional growth. You have a track record of successfully managing projects from conception to implementation, ensuring that all deliverables meet high standards of quality and effectiveness.

You are passionate about using technology to empower small businesses — your mission aligns with Teya's commitment to providing equitable services to local enterprises. You understand the unique challenges faced by these businesses and are driven to create solutions that enhance their operational capabilities.

Desirable

Experience with regulatory compliance and anti-money laundering (AML) practices is a plus — familiarity with industry standards and best practices will help you navigate the complexities of fraud prevention in the financial sector. A background in software engineering or data science can also enhance your effectiveness in this role.

What you'll do

As the Senior Fraud & Transaction Monitoring Engineering Manager at Teya, you will lead the development of the analytical backbone for our fraud detection systems — your primary focus will be on building, optimizing, and scaling systems that protect our ecosystem from fraudulent activities. You will oversee the design and implementation of rule engines and data flows that enhance our monitoring capabilities.

You will collaborate closely with Data Engineering to ensure that our data architecture supports robust fraud detection mechanisms — your insights will drive improvements in data quality and accessibility, enabling more effective analysis and reporting. You will also work with Risk Analytics to develop behavioral signals that inform our fraud prevention strategies, ensuring that we stay ahead of emerging threats.

In this role, you will manage a team of engineers, providing technical leadership and mentorship — you will foster a culture of continuous learning and improvement, encouraging your team to innovate and experiment with new technologies and methodologies. You will also be responsible for setting performance metrics and ensuring that your team meets its goals.

You will engage with stakeholders across the organization to communicate the importance of fraud prevention and the role of technology in achieving our mission — your ability to articulate complex concepts will help build support for initiatives that enhance our fraud monitoring capabilities.

What we offer

At Teya, you will be part of a mission-driven organization that values innovation and collaboration — we offer a supportive community where you can make a meaningful impact on the lives of small business owners. You will have access to continuous learning opportunities, allowing you to stay at the forefront of industry developments and enhance your skills.

We believe in the importance of work-life balance and offer flexible working arrangements to accommodate your needs — our comprehensive benefits package includes health and wellness programs, professional development resources, and a commitment to diversity and inclusion in the workplace. Join us in our mission to empower small businesses and create a level playing field in the financial services industry.