```html About careerzynith – Pioneering the Future of E‑Commerce and Cloud Innovation careerzynith is a global technology leader that reshapes how millions of people shop, connect, and create. With a portfolio that spans e‑commerce, cloud computing, digital streaming, online advertising, and artificial intelligence, careerzynith empowers sellers and consumers alike to thrive in a fast‑changing digital marketplace. Our mission is simple yet ambitious: to deliver unparalleled customer experiences while safeguarding the trust that underpins every transaction. As part of this mission, careerzynith continuously invests in advanced fraud prevention programs that protect merchants, consumers, and the broader ecosystem from financial loss and abuse. Why This Role Matters – The VITA Vision The Vendor & Transaction Integrity (VITA) team is at the heart of careerzynith’s commitment to secure commerce. Tasked with detecting, preventing, and investigating fraudulent payments and extortion attempts across the global seller network, the VITA program is a critical line of defense against sophisticated fraud schemes. As a Senior Fraud Investigator, you will lead high‑impact investigations that protect careerzynith’s merchants, preserve revenue integrity, and reinforce the trust that fuels our rapid growth. Role Overview This is a fully remote, full‑time position based in Connecticut, USA. You will serve as a senior specialist and program lead within careerzynith’s Fraud Prevention organization, guiding investigations from inception to resolution, mentoring junior investigators, and collaborating with cross‑functional teams—including Payments, Legal, Risk, and Engineering—to design and refine detection models that stop fraud before it happens.

Key Responsibilities

• Lead end‑to‑end investigations of merchant payment fraud and extortion incidents, ensuring thorough evidence collection, root‑cause analysis, and actionable recommendations.
• Develop, test, and refine analytical models and detection rules that identify emerging fraud patterns in real time.
• Audit electronic logs, transaction histories, and external data sources to build a comprehensive view of suspicious activity.
• Document investigative findings in clear, concise reports for internal stakeholders, law enforcement, and, when appropriate, legal counsel.
• Conduct and facilitate interviews with merchants, witnesses, and internal partners—both remotely and in‑person—to gather critical testimony.
• Partner with global teams in the U.S., Costa Rica, Slovakia, and India to coordinate multi‑regional investigations and share best practices.
• Mentor and coach junior fraud investigators, fostering a culture of continuous learning and analytical excellence.
• Drive process efficiencies across the investigation lifecycle by standardizing workflows, leveraging automation, and reducing manual bottlenecks.
• Stay ahead of evolving fraud tactics by researching new extortion methods, reviewing industry threat intelligence, and proposing proactive counter‑measures.
• Present regular status updates and strategic insights to senior leadership, influencing policy decisions and resource allocation.

Essential Qualifications

• Bachelor’s degree in Criminal Justice, Finance, Computer Science, Data Analytics, Business, Economics, or a related field.
• Minimum 6 years of hands‑on fraud investigation experience, preferably within a high‑volume e‑commerce or payments environment.
• At least 5 years of experience leading full‑cycle investigations from hypothesis to resolution.
• Proficiency in SQL for data extraction, manipulation, and analysis.
• Strong analytical mindset with proven ability to work with large, complex datasets and uncover hidden patterns.
• Exceptional written and verbal communication skills, capable of translating technical findings into business‑focused narratives.
• Demonstrated ability to collaborate across geographies and functional silos to achieve shared objectives.
• High emotional intelligence and stakeholder management skills, enabling effective interaction with merchants, legal teams, and law enforcement.

Preferred Qualifications & Certifications

• Professional certifications such as CPA, CIA, PMP, or CFE.
• Experience with advanced data‑science techniques, including machine‑learning model development for fraud detection.
• Background in forensic accounting, internal audit, or SOX compliance.
• Prior leadership of remote or globally distributed teams.
• Familiarity with e‑commerce fraud typologies such as payment diversion, merchant extortion, and synthetic identity fraud.
• Track record of imple