Analytics Manager, Full Stack

About the Role

As a key member of the team, the Analytics Manager will be responsible for advising on best practices, ensuring alignment with risk management goals, and reporting on fraud trends and loss drivers to senior management and cross-functional partners. The role will also involve working with the operations team to limit losses and ensure optimal review volumes, as well as assisting in the evaluation and development of new features and signals to enhance fraud detection capabilities.

Affirm is a company that values transparency, honesty, and innovation, and the Analytics Manager will be expected to embody these values in their work. The company's commitment to making credit more honest and friendly means that every role, including this one, plays a part in shaping the future of financial services.

What You Will Do

• Develop strategies for monitoring and preventing fraud across Affirm's network, advising on best practices and aligning with risk management goals.
• Leverage advanced data analytics to identify loss drivers, derive insights, and optimize fraud management strategies.
• Report on fraud trends and loss drivers to cross-functional partners and senior management, providing actionable insights to inform decision-making.
• Respond quickly to fraud rings and ensure issues raised by other teams are addressed in a timely manner, demonstrating strong problem-solving skills and adaptability.
• Work together with the operations team to help limit losses and ensure optimal review volumes, emphasizing collaboration and effective communication.
• Assist with the evaluation and development of new external or internal features/signals to improve fraud detection capabilities, staying abreast of industry trends and technological advancements.
• Participate in team planning and goal setting, as well as coaching and mentoring more junior team members, promoting a culture of learning and growth.
• Collaborate with the product team to understand how the product works and identify opportunities to make it more effective in preventing fraud, showcasing a product-oriented mindset.

What We Are Looking For

• 7+ years of experience in Fraud Management or a related field, with a prior emphasis on analytics.
• Product knowledge and a passion for understanding how the product works and how to change it to make it more effective.
• Ability to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity, demonstrating resilience and flexibility.
• Technical skills, including extensive experience writing and analyzing SQL queries and comfort using Python or other scripting languages for data analysis.
• Strong communication skills, with the ability to build strong cross-functional partnerships and communicate analyses and recommendations clearly to both technical and non-technical audiences.
• Multi-tasking abilities, with strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics.
• Industry knowledge, including a working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.
• Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, or economics.

Nice to Have

• Experience with machine learning models and their application in fraud detection.
• Familiarity with cloud-based data platforms and tools.
• Knowledge of regulatory requirements and compliance issues related to fraud management.
• Experience working in an international environment, with a understanding of different markets and fraud patterns.

Benefits and Perks

• Competitive salary and equity package.
• Opportunity to work with a fast-growing and innovative company that is changing the financial services landscape.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Professional development opportunities, including training and education support.
• Flexible working hours and remote work options, allowing for a healthy work-life balance.
• Access to the latest tools and technologies, ensuring you stay at the forefront of your field.
• Comprehensive health insurance and wellness programs, prioritizing your well-being.
• Generous paid time off and holiday policy, giving you the time to rest and recharge.

• Ensure your resume and cover letter highlight specific experience with fraud management and analytics, as well as any relevant technical skills such as SQL and Python.
• Prepare examples of how you've developed and implemented fraud detection strategies in previous roles, and be ready to discuss your approach to analytics and problem-solving.
• Demonstrating a strong understanding of the fintech industry and current trends in fraud management will be advantageous, so make sure to do your research before applying.
• Practice explaining complex technical concepts in simple terms, as the ability to communicate effectively with both technical and non-technical stakeholders is crucial.
• Consider creating a portfolio or examples of your work, such as case studies or project reports, to showcase your skills and experience in fraud analytics and strategy development.
• Be prepared to discuss your experience working in fast-paced environments and how you handle pressure and tight deadlines.
• Show enthusiasm for Affirm's mission and values, and be prepared to discuss how your skills and experience align with the company's goals and vision.