Mgr II, Fraud Analytics in Columbus, Georgia at InComm

InComm
Mgr II, Fraud Analytics

US-GA-Columbus

Job ID: 2026-20831
Type: Full-Time
# of Openings: 1
Category: Risk & Compliance
InComm Payments

Overview

When you think of InComm Payments, think of Innovative Payments Technology. We were founded over 30 years ago and continue to be a pioneer in the payment (FinTech) industry. Since our inception, we have grown to be a team of over 3,000 employees in 35 countries around the world. We own over 400 global technical patents and a network that includes over 525,000 points of retail distribution that points to our industry expertise.

InComm Payments works with the most recognized and valued brands in the world, and we are partnered with most of the world’s leading merchants. InComm Payments is highly focused on our people and their growth, and we work hard to make a career at InComm Payments meaningful and rewarding. We value innovation, quality, passion, integrity, and responsibility in all that we do, and we are looking for great people to join our team as we move forward towards a very bright future.

You can learn more about InComm Payments by visiting our Website or connecting with us on LinkedIn, YouTube, Twitter, Facebook, or Instagram.

Responsibilities

• AI/ML Model Development, Scaling & Technical Leadership
• Design, build, and deploy machine learning models for fraud detection and prevention, including supervised, unsupervised, and semi-supervised approaches.
• Lead the technical direction for fraud ML solutions, ensuring scalable, reliable performance across highvolume, realtime and batch transaction data spanning multiple payment products and geographies.
• Establish best practices for model development, experimentation, monitoring, and continuous improvement, and ensure consistent adoption across the team.
• Provide technical guidance and code reviews to ensure high-quality, maintainable, and well-governed analytical solutions.
• Advanced Analytics, Fraud Problem Solving & Mentorship
• Drive complex analytical investigations to identify emerging fraud patterns, vulnerabilities, and attack vectors across products and markets.
• Coach and mentor data scientists and analysts in applying statistical rigor, domain expertise, and creative problem-solving to ambiguous fraud challenges.
• Translate complex analytical findings into actionable insights that influence fraud strategy, operational decisions, and executive-level discussions.

• People Leadership & Team Development
• Lead, mentor, and develop a team of data scientists, fostering a culture of accountability, collaboration, innovation, and continuous learning.
• Support hiring, onboarding, and performance development of team members, including goal setting, feedback, and career progression.
• Balance hands-on technical execution with delegation and prioritization to ensure timely and high-impact delivery across initiatives.
• Cross-Functional Collaboration & Stakeholder Influence
• Act as a senior thought partner to fraud technologies, product, engineering, operations, legal, and compliance stakeholders to align analytics solutions with business objectives, risk appetite, and regulatory requirements.
• Partner with vendor and engineering teams to productionize models and analytics into real-time fraud systems at scale.
• Communicate clearly and effectively with both technical and non-technical audiences, influencing decisions through data-driven recommendations and measurable business impact.
• Innovation, Governance & Thought Leadership
• Stay current with advancements in machine learning, AI, and fraud detection techniques, and guide the team in applying them pragmatically to real-world problems.
• Lead proof-of-concept initiatives, tool evaluations, and model experimentation efforts.
• Influence and uphold best practices in model validation, governance, and responsible AI within the fraud analytics organization.

Qualifications

• Strong understanding of fraud prevention technologies, advanced analytics, and machine learning applications in production environments.
• Proven experience in an analytical or data science role (4+ years), with demonstrated success delivering scalable, high-impact ML solutions.
• Demonstrated people leadership experience, including mentoring, coaching, and developing data scientists or analysts in a team setting.
• Ability to set technical direction, prioritize work, and balance hands-on execution with leadership responsibilities.
• Strong analytical mindset with the ability to work with large, complex datasets and apply statistical and machine learning techniques to real-world business problems.
• Excellent communication and interpersonal skills, with the ability to influence stakeholders and explain complex concepts to diverse audiences.
• Proven track record of driving strategic initiatives using data-driven insights while collaborating effectively across cross-functional teams.
• Proactive approach to staying current on fraud trends, emerging technologies, and best practices in analytics and people leadership.

InComm Payments provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran’s status, age, disability status, genetics or any other category protected by federal, state, or local law.

*This position is eligible for the Employee Referral Bonus Program - Tier III

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