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Fraud Software Engineer Jobs in Texas (NOW HIRING)

Actimize Lead Full-stack Engineer

Dallas, TX · On-site +1

$70K - $140K/yr

As a Lead Full-stack Engineer you will work on Anti-Money Laundering/Bank Secrecy Act (AML/BSA ... Fraud software applications - specifically Actimize ActOne with experience in AML-CTR, AML-STAR ...

Software Engineer 3

Austin, TX · On-site

$57 - $76.50/hr

They are seeking a highly motivated Software Engineer 3 to develop AI-driven solutions that ... Forensics & Fraud services and human capital management. Founded in 2004, the company is ...

We are looking for a Staff Software Engineer to join the Risk Engineering team and help build the ... Experience in risk, compliance, financial services, lending, fraud, controls, audit, or regulated ...

We are looking for a Staff Software Engineer to join the Risk Engineering team and help build the ... Experience in risk, compliance, financial services, lending, fraud, controls, audit, or regulated ...

As a Lead Full-stack Engineer you will work on Anti-Money Laundering/Bank Secrecy Act (AML/BSA ... Fraud software applications - specifically Actimize ActOne with experience in AML-CTR, AML-STAR ...

As a Lead Full-stack Engineer you will work on Anti-Money Laundering/Bank Secrecy Act (AML/BSA ... Fraud software applications - specifically Actimize ActOne with experience in AML-CTR, AML-STAR ...

Software Engineer III

Allen, TX · On-site

$53.50 - $71.75/hr

The Software Engineer III, under general supervision, participates in the technical design and ... Our strategy focuses on delivering secure data access, mitigating fraud, and enabling seamless ...

Software Engineer III

Allen, TX · On-site

$53.50 - $71.75/hr

The Software Engineer III, under general supervision, participates in the technical design and ... Our strategy focuses on delivering secure data access, mitigating fraud, and enabling seamless ...

Software Engineer III

Allen, TX · On-site

$53.50 - $71.75/hr

The Software Engineer III, under general supervision, participates in the technical design and ... Our strategy focuses on delivering secure data access, mitigating fraud, and enabling seamless ...

Actimize Lead Full-stack Engineer

Dallas, TX · On-site +1

$70K - $140K/yr

... Fraud software applications - specifically Actimize ActOne with experience in AML-CTR, AML-STAR ... developer. Java Development experience preferred - Springboot/Springbatch, Maven and/or ANT, JPA ...

$55 - $60/hr

Software Engineer (Java/Spring Boot) Duration: 12 Months Work Arrangement: Remote Job Summary: W ... ID Fraud, and MetLife Pet Insurance 401(k) Abbott is a global healthcare leader that helps people ...

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Showing results 21-40

Fraud Software Engineer information

What is a fraud software engineer?

Fraud Software Engineers are specialists who design, develop, and maintain software systems aimed at detecting and preventing fraudulent activities. They work with advanced algorithms, machine learning, and data analysis to identify suspicious patterns or transactions in real time. Their role is crucial in safeguarding financial institutions, e-commerce platforms, and other organizations from financial losses due to fraud. They also collaborate closely with security teams to continuously improve fraud detection systems and stay ahead of evolving threats.

How do fraud software engineers typically collaborate with other departments to enhance fraud detection systems?

Fraud Software Engineers work closely with data analysts, cybersecurity teams, and product managers to develop and refine fraud detection tools. They often participate in cross-functional meetings to review emerging threats and adapt algorithms accordingly. Collaboration is essential for integrating real-time data feeds, sharing insights on fraudulent patterns, and ensuring that software solutions align with regulatory and customer requirements. This collaborative approach helps ensure that detection mechanisms remain robust and adaptable in a rapidly evolving landscape.

What are the key skills and qualifications needed to thrive as a fraud software engineer, and why are they important?

To thrive as a Fraud Software Engineer, you need strong skills in software development, data analysis, and an understanding of fraud detection methodologies, usually backed by a degree in computer science or related fields. Familiarity with programming languages (such as Python, Java, or Scala), machine learning frameworks, and fraud detection platforms is typically required, along with relevant certifications in cybersecurity or data analytics. Analytical thinking, problem-solving, and effective communication are valuable soft skills that help in identifying threats and collaborating across teams. These skills and qualities are crucial for building robust systems that proactively detect and prevent fraudulent activities, safeguarding organizational assets.

What is the difference between Fraud Software Engineer vs Fraud Analyst?

AspectFraud Software EngineerFraud Analyst
Required CredentialsBachelor's in Computer Science or related field, coding skills, knowledge of fraud detection toolsBachelor's in Finance, Business, or related field, analytical skills, understanding of fraud patterns
Work EnvironmentDevelops and maintains fraud detection software, collaborates with engineering teamsAnalyzes fraud cases, reviews data, and implements fraud prevention strategies
Employer & Industry UsageTech companies, financial institutions, e-commerce platformsBanking, credit card companies, online payment providers

While both roles focus on combating fraud, Fraud Software Engineers develop and improve the technical systems used for detection, whereas Fraud Analysts analyze data and patterns to identify and prevent fraudulent activities. Both positions are essential in the fight against fraud but require different skill sets and responsibilities.

Is fraud investigation a good career?

Fraud investigation is a valuable career path that involves analyzing financial data and detecting fraudulent activities, often requiring skills in data analysis, cybersecurity, and investigative techniques. Fraud software engineers develop tools and systems to identify and prevent fraud, making the field technically challenging and in demand across various industries.

What cities in Texas are hiring for Fraud Software Engineer jobs?

Cities in Texas with the most Fraud Software Engineer job openings:

Software Engineer - Athena, Ai & Data Platforms (AiDP)

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 5 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Athena Platform Services (APS) is looking for a talented Software Engineer to play a meaningful role in building data services and platforms that run machine learning analytics to prevent fraud, waste and abuse across Apple. Athena is a machine learning platform committed to providing high-quality, data-driven risk decisioning. We are passionate about operational excellence and providing data-driven solutions with meaningful results!
Description
As a Software Engineer on the Athena platform, you will be working with large-scale data and decisioning platforms used by data scientists, analysts, and business partners. This position supports both online solutions for near-real-time decisioning, and offline solutions for batch analytics and reporting.
Minimum Qualifications
5+ years building production-grade software or data platforms at scale.
Proficient in Java, Python, or Scala.
Hands-on experience with Spark, Flink, Kafka, or similar distributed data technologies.
Experience designing, optimizing, and debugging large-scale production data pipelines.
Bachelor's degree in Computer Science or a related technical major
Preferred Qualifications
Strong systems thinking, communication, and problem-solving skills.
Demonstrated bias for action, curiosity, and ability to learn new technologies quickly.
Experience with ML/AI platforms, including feature engineering, model training, or GenAI workflows.
Familiarity with Kubernetes and cloud-native technologies.
Experience with Alibaba Cloud or other cloud platforms in regulated or region-specific environments, including PIPL.
Experience mentoring engineers and driving technical collaboration.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976