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Fraud Detection Machine Learning Jobs in Connecticut

GDIT

Machinist

Pawcatuck, CT · On-site

$24.65 - $33.35/hr

Machine technology educational program * Shipbuilding/Marine Advanced Manufacturing Institute (SAMI ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

GDIT

Machinist

Pawcatuck, CT · On-site

$20.24 - $26.45/hr

Will set up and machine many different types of parts to blueprint. Knowledge of G-Code programming ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Connecticut

Fraud Detection Machine Learning information

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$10

$17

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How much do fraud detection machine learning jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for fraud detection machine learning in Connecticut is $17.17, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.32 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Fraud Detection Machine Learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are the key skills and qualifications needed to thrive as a Fraud Detection Machine Learning Specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What are popular job titles related to Fraud Detection Machine Learning jobs in Connecticut? For Fraud Detection Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Connecticut look for? The top searched job categories for Fraud Detection Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Fraud Detection Machine Learning jobs? Cities in Connecticut with the most Fraud Detection Machine Learning job openings:
Fraud Detection Machine Learning jobs near you

Cardiac CT Image Analyst

Caristo Diagnostics

Stamford, CT • On-site

Full-time

Posted 9 days ago

Job description

Cardiac CT Image Analyst – Biomedical Imaging / AI Diagnostics


About Caristo Diagnostics

Caristo Diagnostics is a global leader in AI-powered cardiovascular imaging and biomedical diagnostics. A spinout from the University of Oxford, Caristo’s award-winning technology uses artificial intelligence (AI) to transform cardiac CT imaging into a tool for early detection of heart disease. By analyzing routine medical images to identify hidden
inflammation and plaque, Caristo enables clinicians to predict heart attack risk before symptoms appear.
Our flagship CaRi-Heart® and CaRi-Plaque™ technologies have been featured in The Lancet, JACC, and the European Heart Journal, and Cardiovascular Research

CaRi-Plaque™ is  now FDA-approved for clinical use in the U.S. Learn more at caristo.com.


Position Summary

We are seeking a Cardiac CT Image Analyst with a background in biomedical science, medical imaging, radiology, or life sciences to join our expanding Image Analysis team in Stamford, Connecticut. You’ll collaborate closely with colleagues in both the U.S. and the U.K., analyzing cardiac CT datasets using Caristo’s proprietary AI imaging software. 
This position is ideal for someone excited by AI-driven healthcare innovation, quantitative image analysis, and the opportunity to shape the future of cardiovascular diagnostics. A comprehensive training program will be provided.

Key Responsibilities

  • Analyze cardiac CT images and medical imaging data using Caristo’s AI-based software in accordance with company SOPs.
  • Manage and process patient imaging data securely and accurately.
  • Provide timely support to internal and external stakeholders, including physicians and researchers.
  • Identify and flag cases that are non-analyzable due to technical or clinical limitations.
  • Support the development of internal standard operating procedures (SOPs) for image analysis workflows.
  • Participate in risk management activities for new medical device development.
  • Contribute to ongoing research projects (e.g., ground-truth data generation for machine learning).
  • Provide feedback for AI model improvements and software testing.

Required Skills and Experience

Essential:

  • Associate or Bachelor’s degree in biomedical science, medical technology, radiology, life sciences, or a related field (e.g., digital health, public health, biomedical engineering).
  • Strong analytical skills and attention to detail.
  • Excellent communication and data interpretation abilities.
  • Proficiency with Microsoft Office, particularly Excel and database management.
  • Strong organizational skills and ability to prioritize multiple tasks.
  • Enthusiasm for medical imaging, AI, and healthcare innovation.

Desirable:

  • Experience with DICOM images, image segmentation, or quantitative data analysis.
  • Familiarity with Python, MATLAB, or similar data analysis tools.
  • Experience in a clinical, radiology, or biomedical research setting.
  • GCP certification and/or understanding of clinical research standards.
  • Exposure to AI/ML-based imaging platforms or digital diagnostics.


Why Join Caristo

  • Be part of a global medical technology company transforming cardiac care through AI and imaging innovation.
  • Join the founding U.S. team and contribute to our FDA-approved product rollout.
  • Work in a collaborative, mission-driven environment that values integrity, innovation, quality, and impact, and which supports personal growth.
  • Share the company values of pushing the boundaries, taking ownership, caring for each other and being candid and professional.
  • Competitive salary and benefits package.


Location

Stamford, Connecticut (on-site position)

Equal Opportunity

Caristo Diagnostics is committed to diversity and inclusion. We encourage applications from all qualified individuals, including those seeking to take the next step in their career.


Suggested Indeed Skills Tags

  • Biomedical Imaging
  • Cardiac CT
  • AI Imaging
  • Image Analysis
  • Medical Imaging
  • Radiology
  • DICOM
  • Data Analysis
  • Machine Learning
  • Python
  • MATLAB
  • Healthcare Technology
  • Cardiovascular Imaging
  • Quantitative Analysis
  • Medical Device
  • FDA-approved Technology
  • Life Sciences
  • Biomedical Research
  • Clinical Data
  • Digital Health