Fraud Analyst I

Posted 6 Days Ago
Be an Early Applicant
Herzliya
In-Office
Entry level
Information Technology • Software • Cybersecurity
The Role
Analyze and mitigate fraudulent activities, perform forensic analysis, and communicate findings to customers while working in a team-oriented and flexible environment.
Summary Generated by Built In

What you’ll achieve:

The Anti-Fraud Command Center (AFCC) is one of the largest anti-fraud security providers in the world and is looking for students and early professionals to fill hybrid remote Analyst positions. Analysts are expected to be at the start of their careers and will receive training and support. The position is part-time, with a minimum requirement of 4 shifts a week, including night shifts and Friday mornings. There is flexibility in scheduling to accommodate school and personal commitments.

 Essential Duties

  • Detect and mitigate fraudulent attacks from various types, including Phishing, Trojan, Mobile Apps etc.
  • Analyze and understand of new fraud trends, patterns, and techniques
  • Perform forensics analysis and research
  • Shut down fraudulent websites
  • Communicate with our global network of customers to update on analysis conclusions as well as attack status

Desired Requirements

  • Very strong interpersonal & communication skills
  • Independent, self-starter with a passion for hunting
  • Positive and proactive, can-and-will-do, team player attitude
  • Motivated, fast learner
  • Fraud and cyber background
  • Technical orientation
  • The AFCC is all-online/remote, with all employees working from home
  • Applicants must have stable internet access; a laptop will be provided
  • Ability to work two days a week from our Herzliya Israel office

 Desired Behaviors

  • Receptive to change – is flexible. Seeks and adopts improved approaches and processes.
  • Initiates action – is results oriented, takes responsibility for actions and outcomes. Meets commitments and strives for high performance.
  • Manages the workload - makes timely decisions, prioritizes effectively, solves problems, monitors results and takes remedial action where necessary.
  • Technically proficient – knows role and has a solid familiarity with tasks and responsibilities.
  • Takes responsibility for own learning - knows personal strengths and recognizes development needs. Is open to feedback and always seeks to learn.
  • Communicates ideas – strong facilitation and written communication, proposes a way forward. Listens to views of colleagues and takes on diverse perspectives.
  • Works collaboratively – shares information, fosters teamwork and contributes to a positive work environment where people want to come to work.
  • Display ethical character and competence - acts with integrity and intent, is accountable for own actions, behaves according to the company values.
  • Act as a good citizen of the company.

Outseer is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Outseer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Outseer will not tolerate discrimination or harassment based on any of these characteristics. Outseer encourages applicants of all ages.

Top Skills

Cybersecurity
Forensics Analysis
Fraud Analysis
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The Company
HQ: London, England
248 Employees

What We Do

At Outseer, we are empowering our customers to liberate the world from digital fraud by providing solutions that stop fraud, not customers. Our market-leading all-cause fraud prevention platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry.

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