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Software Engineer Fraud Detection Jobs in Indiana

Sr Embedded Software Engineer

Columbia City, IN · On-site

$113K - $148K/yr

Position Summary How do you find the hidden, detect the soundless, and see the invisible? How would ... The Software Engineering experience with Ultra Maritime offers both a challenging and rewarding ...

Sr Embedded Software Engineer

Columbia City, IN · On-site

$113K - $148K/yr

Position Summary How do you find the hidden, detect the soundless, and see the invisible? How would ... The Software Engineering experience with Ultra Maritime offers both a challenging and rewarding ...

Embedded Software Engineer II

Columbia City, IN · On-site

$120K - $158K/yr

Position Summary How do you find the hidden, detect the soundless, and see the invisible? How would ... The Software Engineering experience with Ultra Maritime offers both a challenging and rewarding ...

Embedded Software Engineer II

Columbia City, IN · On-site

$120K - $158K/yr

Position Summary How do you find the hidden, detect the soundless, and see the invisible? How would ... The Software Engineering experience with Ultra Maritime offers both a challenging and rewarding ...

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Software Engineer Fraud Detection information

What does a Software Engineer in 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 in 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 in 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 Indiana? For Software Engineer Fraud Detection jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Indiana look for? The top searched job categories for Software Engineer Fraud Detection jobs in Indiana are:
What cities in Indiana are hiring for Software Engineer Fraud Detection jobs? Cities in Indiana with the most Software Engineer Fraud Detection job openings:
Sr Software Engineer With GraphQL - Hybrid

Sr Software Engineer With GraphQL - Hybrid

Georgia IT Inc

Elkhart, IN

$118K - $155K/yr

Other

Posted yesterday


Job description

Sr Software Engineer With GraphQL

Location – Baltimore MD, Evansville IN, Charlotte NC, Irving TX, or Wilmington DE (Hybrid) 06 Months plus contract Rate -DOE

We are seeking a highly skilled and experienced Senior Software Engineer specializing in GraphQL to join our dynamic team. The ideal candidate will have a strong background in multi-product development and support, proficiency in TypeScript, expertise in BPMN workflow solutions such as Camunda and experience with data solutions, particularly Redis. The development of automated tests and their integration with our continuous integration/continuous deployment (CI/CD) pipeline is also essential. This role offers an exciting opportunity to work on innovative projects and contribute to the development of cutting-edge software solutions.

Key Responsibilities
  • GraphQL Development: Design, develop, and maintain GraphQL APIs to support various products and services, ensuring high performance and scalability.
  • Multi-Product Development: Collaborate with cross-functional teams to develop and support multiple products, ensuring seamless integration and consistent user experiences.
  • TypeScript Proficiency: Utilize TypeScript to write clean, maintainable, and efficient code for front-end and back-end development.
  • BPMN Workflow Solutions: Implement and manage workflows using Camunda optimizing business processes and ensuring compliance with industry standards.
  • Data Solutions: Design and implement data solutions using Redis and other relevant technologies to ensure data integrity, availability, and performance.
  • Design and Develop Automated Tests: Develop and maintain automated test scripts using Typescript to ensure comprehensive test coverage and high software quality.
  • CI/CD Integration: Integrate code and automated tests with the CI/CD pipeline to enable continuous testing and early detection of issues. Ensure automated tests are run regularly and provide feedback on the build quality.
  • Technical Leadership: Provide technical guidance and mentorship to junior engineers, promoting best practices and fostering a culture of continuous improvement.
  • Code Reviews: Conduct thorough code reviews to ensure code quality, maintainability, and adherence to coding standards.
  • Collaboration: Work closely with product managers, designers, and other stakeholders to gather requirements, define project scope, and deliver high-quality solutions on time.
  • Problem Solving: Identify, troubleshoot, and resolve complex technical issues, ensuring the stability and reliability of our software systems.
  • Continuous Learning: Stay up-to-date with the latest industry trends, technologies, and best practices, and apply this knowledge to improve our software development processes.
Desired Skills
  • Strong proficiency in GraphQL, including schema design, query optimization, and performance tuning.
  • Expertise in TypeScript and its application in both front-end and back-end development.
  • Experience with BPMN workflow solutions such as Camunda, including workflow design, implementation, and management.
  • Proficiency with data solutions like Redis, including data modeling, performance optimization, and data migration.
  • Familiarity with other relevant technologies such as Node.js, React, or similar frameworks. Experience with CI/CD tools like Jenkins, GitLab CI, or CircleCI. Familiarity with version control systems, especially GitHub.

Georgia IT logo

About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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