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Software Engineer Fraud Detection Jobs in Indiana

Centier

Fraud Investigations Analyst

Merrillville, IN

$19/hr

Research and respond to alerts and reports received from multiple sources including fraud detection software, to detect and evaluate suspicious and fraudulent transactions. * Create and update cases ...

Circle

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... You will own Circle's fraud risk management program, oversee fraud analytics and detection ...

Circle

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... You will own Circle's fraud risk management program, oversee fraud analytics and detection ...

Circle

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... You will own Circle's fraud risk management program, oversee fraud analytics and detection ...

Circle

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... You will own Circle's fraud risk management program, oversee fraud analytics and detection ...

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Software Engineer Fraud Detection information

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 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 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:
Software Engineer Fraud Detection jobs near you

Staff Engineer, Trust & Safety Platform

Givebutter

Indianapolis, IN • On-site

$190K - $225K/yr

Full-time

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Givebutter is looking for a Staff Software Engineer based in Indianapolis to enhance its fraud prevention systems. In this role, you'll develop key fraud detection platforms while collaborating closely with various teams. Ideal candidates should have over eight years of experience in software engineering, particularly in fraud and trust domains.

The position comes with a competitive salary range of $190K - $225K and numerous benefits including 100% coverage on health insurance and a flexible PTO policy that offers uncapped vacation days. J-18808-Ljbffr

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