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Fraud Software Engineer Jobs in Texas (NOW HIRING)

Closinglock

Software Engineer

Austin, TX · On-site

... fraud and provide a secure, easy-to-use platform for title companies, law firms, and other ... Work closely with and learn from our senior engineering team. * Contribute to the full software ...

Judge Group, Inc.

Software Engineer

Austin, TX · On-site

$65 - $70/hr

... fraud, risk, and platform architecture stakeholders. A core component of this role is the practical ... engineering workflows across the entire software development lifecycle. You will leverage ...

Ampcus Inc

Software Engineer - Java

Plano, TX · On-site

$49.75 - $68.25/hr

They are in search of a highly motivated Software Engineer - Java to lead technology projects and ... Forensics & Fraud services and human capital management. Founded in 2004, the company is ...

Tank Payments

Software Engineer

Austin, TX · On-site

$120 - $180/hr

... of experience in software development (internships or personal projects welcome) * Basic ... Fraud Mitigation: Build real-time fraud detection and prevention mechanisms to safeguard our ...

Huntington

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 ...

SoFi

Staff Software Engineer

Frisco, TX

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 ...

Huntington

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 ...

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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 are popular job titles related to Fraud Software Engineer jobs in Texas?

For Fraud Software Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Fraud Software Engineer jobs in Texas look for?

The top searched job categories for Fraud Software Engineer jobs in Texas are:

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

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

Fraud Software Engineer jobs near you

Software Engineer - Strategic Data Solutions

Apple

Austin, TX • On-site

Full-time

Re-posted 25 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment?
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. Join Apple, and help us leave the world better than we found it. Apple's Strategic Data Solutions team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners.
The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Description
With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you're interested in being a part of a team that's constantly learning and problem-solving, we'd love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the fraud prevention efforts of SDS.
You will be:
• Developing and implementing production software for preventing fraud
• Responsible for system architecture design
• Working with external infrastructure teams to drive the development of infrastructure needs
• Innovating by recognizing opportunities for automation and tools improvements
• Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
• Responsible for technical leadership for a team of data scientists
• Lead the team to increase the level of maturity and skill in analytical software development
• Responsible for release engineering
Minimum Qualifications
BS or advanced degree in Computer Science, related field or equivalent experience
Mastery of one of Python, Java, Scala, C++ or equivalent language
4+ years of experience in software engineering/data science
Experience building data science or data analysis tools on Hadoop/cloud based systems
Preferred Qualifications
Some experience with Docker, Kubernetes, or cloud platform deployment
Experience with Relational databases and NoSQL databases
Demonstrated understanding of the full software development lifecycle
Excellent problem solving, critical thinking, and communication skills
Solid grasp of computer science fundamentals including data structures and algorithms
Solid ability to evaluate and apply new technologies in a short time
Self-motivated, proactive, and solution-oriented

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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

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