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Software Engineer Fraud Detection Jobs in Texas (NOW HIRING)

SoFi

Fraud Model Developer

Frisco, TX

The role SoFi is seeking a Fraud Model Developer to join our Fraud Model Development team. In this ... Familiarity with graph databases, graph analytics, or network-based fraud-detection methods.

Vangard, Inc.

Senior Manager Purple Team

Dallas, TX

This role is responsible for building and scaling a threat-informed validation program that partners Offensive Security, the CSOC, Detection Engineering, and Fraud Detection teams to continuously ...

Tror AI for everyone

Azure Support Engineer

San Antonio, TX · On-site

$49.50 - $61.50/hr

Azure Support Engineer Location: San Antonio, Texas Experience: 10+ Core Requirements (Must-Have ...   Fraud detection experience (Fraud experience is a HUGE plus) *   Key Vaults ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and execute tests to evaluate fraud strategies and improve detection performance. * Work with Product and Engineering to implement fraud rules and ensure accurate execution in production ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and execute tests to evaluate fraud strategies and improve detection performance. * Work with Product and Engineering to implement fraud rules and ensure accurate execution in production ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... Fraud ADUS Key Responsibilities: * Develop and implement end-to-end ML models for fraud detection ...

Vanguard Group

Senior Manager Purple Team

Dallas, TX · On-site

This role is responsible for building and scaling a threat-informed validation program that partners Offensive Security, the CSOC, Detection Engineering, and Fraud Detection teams to continuously ...

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Software Engineer Fraud Detection information

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

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

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

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

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

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

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

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

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

Software Engineer Fraud Detection jobs near you

Senior Lead Software Engineer, Full Stack

Capital One

Houston, TX

Full-time

Re-posted 24 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

91st of 171 rated banks

Job description

Senior Lead Software Engineer, Full Stack

Are you interested in designing and operating highly available, scalable payment systems at global scale?

The Global Payment Network (GPN) Technology organization, manages critical payments infrastructure to facilitate global transaction processing. A key area within the Global Payment Network is the Pulse Network which focuses on debit card activity including network authorizations, fraud detection, settlement, and back office solutions. The Pulse Network delivers innovative, efficient technology solutions that empower our business partners and customers, creating intuitive, secure, and reliable experiences.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You'll Do:

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:

  • Bachelor's Degree

  • At least 6 years of experience in software engineering (Internship experience does not apply)

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • Master's Degree

  • 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

  • 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

  • 4+ years of experience in open source frameworks

  • 1+ years of people management experience

  • 2+ years of experience in Agile practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Houston, TX: $209,000 - $238,500 for Sr. Lead Software Engineer


McLean, VA: $229,900 - $262,400 for Sr. Lead Software Engineer


Plano, TX: $209,000 - $238,500 for Sr. Lead Software Engineer


Riverwoods, IL: $209,000 - $238,500 for Sr. Lead Software Engineer








Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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