AMP Technical Fraud Analyst Manager - Strategic Data Solutions

Apple, Inc.; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Apple Inc. in Singapore is seeking an AMP Technical Fraud Analyst Manager within the Strategic Data Solutions team to lead analytics efforts combating fraud, waste, and abuse in a fast-paced environment.

The role focuses on guiding Technical Fraud Analysts, developing career paths, and driving improvements in fraud prevention strategies through data-driven decisions. You will mentor analysts, develop KPIs, and partner with internal teams to scale analytics, improve efficiency, and deliver

Qualifications

• Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or related field.
• 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles.
• 2+ years of experience leading and mentoring data-focused teams.
• Proficiency in SQL and at least one programming language (e.g., Python, R).
• Experience with large-scale data pipelines and production-level analytics platforms.

Responsibilities

• Leads team in the development of analytical tools and automations to support functional needs.
• Collaborate with and support the team to innovate, encouraging experimentation and growth.
• Mentor the team to develop their technical and professional skillsets considering both the individual's wants and business needs.
• Drive personal innovation projects to improve the team's and/or program's efficiency.
• Functionally manage TFA work and develop KPIs aligned with program targets.
• Project Manage team initiatives as needed and engage with internal/external partners.

Skills

SQL

Python

R

Leadership

Education

Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, a related field

Tools

Spark

Snowflake

Airflow

Job description

AMP Technical Fraud Analyst Manager - Strategic Data Solutions

The Strategic Data Solutions (SDS) team is seeking an experienced and results-oriented Analytics Manager to lead a team focused on combating fraud, waste, and abuse in our fast- paced environment.

This role will be responsible for guiding a team of Technical Fraud Analysts in developing and implementing analytical/tactical solutions to detect, prevent, and mitigate fraudulent activities across multiple programs. As a AMP Technical Fraud Analyst Manager, you will be responsible for fostering a culture of data-driven decision-making, developing career paths and skills within the team, developing strong relationships across the organization, and driving continuous improvement in our fraud prevention strategies. You navigate ambiguity and uncertainty comfortably, making decisions based on information

that may be incomplete at times, and demonstrating an uncanny sense of when to hold course vs shift directions for the team. In this role, you'll combine technical/analytical knowledge and fraud mitigation skills within the business to help the team approach fraud mitigation in a new and exciting way that

enables us to scale with success.

Description

• Leads team in the development of analytical tools and automations to support functional

needs.

• Collaborate with and support the team to innovate, encouraging experimentation and growth
• Mentor the team to develop their technical and professional skillsets considering both the

individual's wants and business needs

• Drive personal innovation projects to improve the team's and/or program's efficiency
• Functionally manage TFA work
• Develop and implement TFA KPIs and drive prioritization ensuring metrics are in line with

program targets

• Project Manage team initiatives as needed
• Engage with internal and external partners to understand program needs and create solutions

on combined challenges

Minimum Qualifications

• Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, a related field,
• 7+ years of hands-on experience in data science, analytics engineering, or similar technical
• analytics roles
• 2+ years of experience leading and mentoring data-focused teams
• Proficiency in SQL and at least one programming language (e.g., Python, R)
• Passion for fostering inclusive team environments and valuing diverse perspectives
• Strong analytical background in applying data science techniques, such as experimental
• design and statistical analysis, to extract insights and answer real-world questions
• Experience working with large-scale data pipelines and conducting data analysis in
• production-level analytics platforms
• Proven ability to drive measurable business impact through data and automation
• Ability to connect insights to business outcomes and influence strategy

Preferred Qualifications

• Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
• Ability to perform in both strategic and tactical situations, and shift between them as defined
• by the needs of the role
• Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML ops tooling
• Clear communicator who can translate complex technical concepts into actionable business
• language

Apple is an equal opportunity employer that is committed to inclusion and diversity. Apple provides reasonable accommodations to applicants with disabilities and in accordance with local requirements. Apple is a drug-free workplace.

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple's workplace

We're a diverse collective of thinkers and doers, continually reimagining what's possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices - strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people's lives. Including your own.

We're a diverse collective of thinkers and doers, continually reimagining what's possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices - strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people's lives. Including your own.