Apple Store Online Fraud Investigator jobs at Apple in Japan, Yokohama
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10+ years of professional software engineering experience and 2+ years in a leadership role managing high-performing teams. Strong programming background in Python, Swift, or similar languages, with a focus on...
Description:
This role requires a hands-on leader who is comfortable contributing to the codebase and actively supporting the team with technical expertise, in addition to managing day-to-day operations and strategic initiatives.
10+ years of professional software engineering experience and 2+ years in a leadership role managing high-performing teams.
Strong programming background in Python, Swift, or similar languages, with a focus on Machine Learning, test automation, or data tooling.
Demonstrated experience designing and scaling systems for software validation, quality assessment, or ML model evaluation.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Experience working on voice assistants, NLP systems, or real-time AI-powered applications.
Experience in Large Language Models usage and benchmarking.
Proven success collaborating with globally distributed teams in a fast-paced, cross-functional environment.
Master’s degree or higher in Computer Science, Machine Learning, or a related discipline.
10+ years of professional software engineering experience and 2+ years in a leadership role managing high-performing teams. Strong programming background in Python, Swift, or similar languages, with a focus on...
Description:
This role requires a hands-on leader who is comfortable contributing to the codebase and actively supporting the team with technical expertise, in addition to managing day-to-day operations and strategic initiatives.
10+ years of professional software engineering experience and 2+ years in a leadership role managing high-performing teams.
Strong programming background in Python, Swift, or similar languages, with a focus on infrastructure, test automation, or data tooling.
Demonstrated experience designing and scaling systems for software validation, quality assessment, or ML model evaluation.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Experience working on voice assistants, NLP systems, or real-time AI-powered applications.
Familiarity with continuous integration pipelines and E2E evaluation frameworks.
Proven success collaborating with globally distributed teams in a fast-paced, cross-functional environment.
Master’s degree or higher in Computer Science, Machine Learning, or a related field.
Proficiency in Japanese and English. Strong written and verbal communications. 1-2 years experience in a customer service, contact center, data analytic or order verification role. Must be flexible to work...
Description:
Inclusion is a shared responsibility and we hold ourselves and one another accountable for fostering a culture where everyone feels seen, heard and inspired to do their best work.
Proficiency in Japanese and English. Strong written and verbal communications
1-2 years experience in a customer service, contact center, data analytic or order verification role.
Must be flexible to work rotating shifts, including weekends and public holidays, with additional flexibility during high volume times of the year
Excellent analytics, employ creative problem solving skills and good logical thinking
Comfortable dealing with large and complex data.
Demonstrate sound decision-making and good judgment.
Customer-focused individual with an eye for identifying outliers among data sets.
Ability to maintain a positive attitude in high-stress/fast-paced work environment.
Phenomenal teammate with a passion for customer protection.
Comfortable with Multi-tasking.
Review and analyze purchase transactions, chargeback requests, and customer accounts to detect unauthorized activity.
Ability to work and make decisions independently
Obtain additional information through outreach to customers, or answering customers call.
Determine appropriate next steps and take action on fraudulent orders, accounts and chargeback transactions.
Analyze, identify, and communicate trends.
Research and resolve suspected fraud escalations from various sources.
Adept at working with ambiguity.
Deal with change positively.
Bachelor’s degree preferred, or equivalent experience.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Retail Customer Care パーソナルセットアップチームはお客様に卓越した顧客体験を提供したいという意欲を持って、顧客志向でテクニカルに精通した人材を求めています。パーソナルセットアップスペシャリストとしてApple製品の魅力を伝え、他にはない特別な体験を提供することで、エネルギーとワクワク感を生み出す役割を担います。Appleでは、ハードワーク、楽しい環境、そして多様なバックグラウンドを持つ才能ある人々がさまざまな視点から課題に取り組むことで生まれる創造性と革新を大切にしています。私たちは、すべてのお客様とのやり取りが、喜びを生み、心を動かし、インスピレーションを与える機会であると信じています。細部にまでこだわることで、お客様に大きな影響を与えることができます。そして、その感動の土台をつくるのは、あなたです!
Minimum 1 year or more management experience of exempt and non-exempt employees required (4+ years preferred). Experience in people management with strong leadership background. Ability to motivate individuals and teams....
Description:
Inclusion is a shared responsibility and we hold ourselves and one another accountable for fostering a culture where everyone feels seen, heard and inspired to do their best work.Apple’s Strategic Data Solutions (SDS) is seeking a Fraud Investigation Area Manager. In this role, you will be responsible for leading 2 Team Leaders & a Senior Fraud Investigator who support our current Investigators in providing focused fraud investigation support for Apple and our customers. You will execute according to business requirements cascading from upper management. You will report directly to a Senior Area Manager, while working with the wider SDS, RCC, OA, and Fraud Investigation management teams.
Minimum 1 year or more management experience of exempt and non-exempt employees required (4+ years preferred)
Experience in people management with strong leadership background
Ability to motivate individuals and teams
Skilled in fundamentals of leadership
Ability to quickly understand customer impact of issues and identify possible resolutions
Strong analysis and problem solving skills
Strong decision making skills and sound judgment
Experience establishing and documenting improved efficiencies in workflow and system processes
Ability to clearly identify goals, communicate vision for the team, and then deliver results consistent with that message
Experience with SAP, spreadsheet management, and Keynote
Excellent written and verbal communication skills
Education: BS degree and/or 3-5 years experience in a customer service/support environment
Strong work ethic with a high degree of flexibility
Ability to work in a fast paced, challenging environment
Detail oriented self-starter
Role model inclusive leadership behaviors and embrace responsibility to build, develop and retain diverse teams
Make space to listen, learn, and amplify diverse perspectives and experiences
Confront barriers to greater inclusion with tenacity, care and commitment
10+ years of professional software engineering experience and 2+ years in a leadership role managing high-performing teams. Strong programming background in Python, Swift, or similar languages, with a focus on...
Description:
This role requires a hands-on leader who is comfortable contributing to the codebase and actively supporting the team with technical expertise, in addition to managing day-to-day operations and strategic initiatives.
10+ years of professional software engineering experience and 2+ years in a leadership role managing high-performing teams.
Strong programming background in Python, Swift, or similar languages, with a focus on Machine Learning, test automation, or data tooling.
Demonstrated experience designing and scaling systems for software validation, quality assessment, or ML model evaluation.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Experience working on voice assistants, NLP systems, or real-time AI-powered applications.
Experience in Large Language Models usage and benchmarking.
Proven success collaborating with globally distributed teams in a fast-paced, cross-functional environment.
Master’s degree or higher in Computer Science, Machine Learning, or a related discipline.
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