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Software Engineer Fraud Detection Jobs in Bloomington, IN

Machine Learning Tutor

Bloomington, IN ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Electrical Engineer

Bloomington, IN ยท On-site

$80K - $85K/yr

Ability to operate a computer, knowledge of Microsoft Office, CADD, Excel, lighting design software ... The role requires the ability to detect items in close proximity as well as far away; discern ...

... C-UXS detection, tracking, identification, and defeat systems * Lead cross-functional engineering teams across hardware, software, systems, and integration disciplines to ensure cohesive and ...

... C-UXS detection, tracking, identification, and defeat systems * Lead cross-functional engineering teams across hardware, software, systems, and integration disciplines to ensure cohesive and ...

... C-UXS detection, tracking, identification, and defeat systems * Lead cross-functional engineering teams across hardware, software, systems, and integration disciplines to ensure cohesive and ...

... C-UXS detection, tracking, identification, and defeat systems * Lead cross-functional engineering teams across hardware, software, systems, and integration disciplines to ensure cohesive and ...

... C-UXS detection, tracking, identification, and defeat systems * Lead cross-functional engineering teams across hardware, software, systems, and integration disciplines to ensure cohesive and ...

... C-UXS detection, tracking, identification, and defeat systems * Lead cross-functional engineering teams across hardware, software, systems, and integration disciplines to ensure cohesive and ...

ORA_ON_SITE Description SAIC is seeking a talented and motivated Electrical Engineer with ... Design and implement digital signal processing algorithms to detect, process, and mitigate advanced ...

Electrical Engineer Technician

Crane, IN ยท On-site

$74K - $78K/yr

... software repair, and data analysis, and is familiar with safety protocols related to lasers ... Conduct data collection and analysis on test results to detect inefficiencies or deviations from ...

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Software Engineer Fraud Detection information

See Bloomington, IN salary details

$22.2K

$97K

$174.8K

How much do software engineer fraud detection jobs pay per year?

As of Sep 1, 2026, the average yearly pay for software engineer fraud detection in Bloomington, IN is $96,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $111,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Bloomington, IN?

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

What cities near Bloomington, IN are hiring for Software Engineer Fraud Detection jobs?

Cities near Bloomington, IN with the most Software Engineer Fraud Detection job openings:

Infographic showing various Software Engineer Fraud Detection job openings in Bloomington, IN as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $96,999 per year, or $46.6 per hour.

Google Cloud Platform Data Architect

Columbus, IN โ€ข On-site

$59.25 - $76.25/hr

Other

Posted 7 days ago


Job description

Job Title: Google Cloud Platform Data Architect
Location: Columbus, Indiana (Hybrid)

Primary Skill : Cloud Google Cloud Platform, Data Modeling, Google Cloud Platform


12+ Years experience required

Job Description :

Data Engineering & Modeling Data Modeling, Logical Data Modeling, Physical Data Modeling, Dimensional Data Modeling, Data Vault Modeling, Data Engineering, Enterprise Data Models, Data Pipelines, Data Governance, Data Architecture, Data Mesh, Lakehouse Architecture Real-Time Data Processing Real-Time Data Pipelines, Streaming Data Processing, Event-Driven Architecture, Apache Kafka, Google Pub/Sub, Low-Latency Data Processing Google Cloud Platform (Google Cloud Platform)Google Cloud Platform, Big Query, Dataflow, Pub/Sub, Vertex AI, Cloud Architecture, Google Cloud Platform Professional Data Engineer, Google Cloud Platform Professional Cloud Architect AI, Machine Learning & MLOps Machine Learning, AI/ML Model Deployment, ML Inferencing, MLOps, Model Monitoring, Model Governance, Model Risk Management, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, MLflow, Kube flow Cloud & Data Technologies Python, SQL, API Integration, Kubernetes, Docker, CI/CD, Apache Spark, Databricks, Snowflake Banking & Financial Domain Banking, Fraud Detection, Risk Management, AML, KYC, Regulatory Compliance, Data Compliance, Operationalizing AI/ML Models, Cross-Functional Collaboration, Data Science, Risk Analytics, Enterprise Solutions

Thanks,