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Software Engineer Fraud Detection Jobs in Indiana

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 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:
Software Engineer Fraud Detection jobs near you

Sales Executive, Fraud Solutions

TecTammina

Indianapolis, IN

$125K/yr

Full-time

Posted yesterday

Job description

Company Description

Company Description:
Company Size: approx 700 on the Actimize side and 2300 on the Nice side = 3000 employees approx globally and growing
Founded in 1999 Publicly traded
Growing rapidly and lots of room for career growth
Excellent market reputation and seen as a leader in the Fintech space
A Fintech 100 company as listed by American Banker
Awards:-
Operational Risk & Regulation named NICE Actimize
#1 in Anti-Money Laundering
#1 in Anti-Fraud
Have won many innovation awards at Finovate
#2 in Compliance Software based on reader feedback demonstrating its across-the-board success with customers in the
three core areas of Client
Gartner Magic Quadrant Leaders Quadrant for 2011 Web Fraud Detection
Fast company rated them most innovative financial tech company in 2013

Job Description

Position to fill: Sales Executive, Fraud Solutions
Industry Specialized IT Services
Location: Candidate Can be located anywhere in the US. (NE preferred). 75% travel time.
Salary range: US$125k base + Commission


Job Description:
The Fraud Solution Sales Executive will possess an in-depth, comprehensive knowledge of Fraud
solutions and acts as the leading Fraud business resource for the sales team.
She/he will:
Develop the Fraud & Cybercrime business globally
Identify new sales opportunities and develop them with the sales force
Work with sales VPs to build sales strategy and campaigns
Accompany and support the sales force during the sales process
Identify indirect sales opportunities/channels
Track the health of the business
Explain features and benefits of the client's Fraud & Cybercrime solutions in comparison
to competitive products
Deliver product presentations to business and management personnel
. 
Requirements:
Self-sufficient senior sales person; likes to be given end objectives with flexibility to take
ownership and manage activities & processes to achieve result.  Experience selling enterprise
software solutions with particular skills in Fraud applications
Manage the end-to-end sales process through engagement of appropriate resources such as Pre-
Sales Consultants, Professional Services, Tech Team, Executives, Partners, etc.
Ability to deliver against tight timelines and quarterly/annual quotas with Customer-Focused DNA
Ability to manage the entire sales process to ensure delivery against key performance metrics,
with a strong emphasis on new business sales, while expanding existing accounts
Pipeline development through a combination of cold calling, email campaigns and market sector
knowledge/intelligence
Generate short term results while maintaining a long term perspective to maximize overall revenue
generation
Accurate monthly forecasting and revenue delivery
Highly motivated and independent
Ability to thrive in a fast paced, dynamic environment
High level of English, second major language (Spanish or French) - big advantage

Additional Information

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