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Pliant

Senior Fraud Operations Specialist - US (m/f/d)

Posted 24 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in New York, NY
Senior level
In-Office or Remote
Hiring Remotely in New York, NY
Senior level
Lead the Fraud Operations Team in monitoring and analyzing transactions to mitigate fraud risks, coordinating incident management, and refining detection models.
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ABOUT US

Pliant is a European fintech specializing in B2B payment solutions. Our modular, API-first platform helps businesses streamline spending, improve cash flow, and integrate payments into their financial workflows. Designed for industries with complex payment needs, such as travel and fleet, Pliant enables greater efficiency, control, and profitability.

We serve two primary customer segments:

  • Companies looking to optimize operational processes through intuitive apps and APIs, gaining control, automation, and financial flexibility through extended credit lines.
  • Businesses such as financial software platforms, ERP providers, and banks that want to launch or enhance their credit card offerings using Pliant’s embedded finance and white-label solutions.

Founded in 2020 and headquartered in Berlin, Pliant supports over 4,000 businesses and more than 20 partners globally. As a licensed e-money institution (EMI), we issue Visa-powered credit cards in 11 currencies across more than 30 countries, helping companies streamline and simplify payments.

Learn more at
www.getpliant.com

ABOUT THE ROLE

🛡️ Are you a payments and fraud monitoring expert who thrives in fast-paced environments where every transaction tells a story?

📊 Do you want to be part of a team that's building real-time defenses against phishing attacks, brute force testing, and transactional anomalies — all while scaling from Europe and the UK into the US?

🚀 As we expand across Europe and prepare for our US launch, we are establishing a new Fraud Operations Team. We are seeking a seasoned Senior Fraud Operations Specialist to lead this initiative. This role will be pivotal in building and overseeing a real-time fraud detection and response function, focusing on third-party fraud, BIN attacks, and transaction anomalies across card and payment operations.

This is a remote role, open to candidates based in the US region, with a fixed daytime shift — ideal for individuals experienced in fraud detection, real-time payment monitoring, and incident management.

🔄 Shift information:
This role follows a fixed schedule, five days per week, including both weekdays and weekends as part of a rotating roster.

WHAT YOU’LL DO

Fraud Detection & Monitoring

  • Oversee real-time monitoring of card transactions and payment flows to identify and mitigate fraudulent activities such as phishing, brute force attacks, and card testing.
  • Ensure timely validation, triage, and escalation of fraud alerts, adhering to internal protocols and playbooks.

Incident Management & Root Cause Analysis

  • Lead the response to fraud-related incidents, coordinating cross-functional teams to ensure swift resolution.
  • Conduct thorough root cause analyses (RCAs) post-incident, implementing lessons learned to prevent recurrence.
  • Maintain a comprehensive incident reporting framework, documenting customer impact, financial implications, and remedial actions.

Data Analysis & Reporting

  • Utilize SQL and Python to analyze transaction data, uncover fraud patterns, and develop predictive models that enhance detection capabilities.
  • Lead the calibration of risk models and the optimization of rule-based systems, ensuring they adapt to evolving fraud tactics while minimizing false positives.

Cross-Functional Collaboration

  • Work closely with Engineering, Compliance, and Customer Relations teams during live escalations.
  • Help refine monitoring dashboards and internal documentation to make processes more robust and scalable.
  • Contribute ideas for process automation and fraud model enhancements.

WHAT YOU’LL BRING

  • Minimum of 5 years in fraud operations, risk analysis, or a related field within fintech or financial services, with a focus on fraud detection and prevention.
  • Proven ability to design, implement, and refine risk models and rule-based systems to effectively identify and mitigate fraud risks.
  • Strong command of SQL and Python for data analysis, enabling the development and calibration of fraud detection models and rules.
  • Demonstrated capability to analyze complex data sets, identify fraud patterns, and make data-driven decisions to enhance fraud prevention strategies.
  • Deep understanding of card payment ecosystems, fraud typologies, and regulatory compliance requirements, ensuring effective oversight of fraud operations.
  • Excellent interpersonal skills, with the ability to lead cross-functional teams and communicate complex concepts to diverse stakeholders.

Preferred Attributes

  • Experience with fraud detection platforms and monitoring tools.
  • Familiarity with incident management frameworks and best practices.
  • Ability to thrive in a fast-paced, dynamic environment with shifting priorities.
  • Commitment to fostering a culture of integrity, accountability, and continuous improvement.

WHAT WE OFFER

  • Competitive salary and performance-based incentives
  • An influential role shaping U.S. market growth at an international fintech
  • Opportunities for professional growth and ownership from day one
  • A remote-friendly environment with support for work-life flexibility
  • Health, wellness, and retirement benefits
  • Access to a diverse and ambitious team driven by impact, innovation, and transparency

At Pliant, we believe diversity and inclusion are essential to building not only an innovative product but also an exceptional experience for both our customers and our team. This commitment begins with our hiring process—we welcome individuals of all racial and ethnic backgrounds, religions, national origins, gender identities or expressions, sexual orientations, ages, marital statuses, and abilities. If you require accommodations or accessibility support during the interview process, please let us know in your application so we can make sure your experience is seamless.

Top Skills

Python
SQL

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