- Education: Bachelor's degree in Data Science, Animation, Graphic Design, Computer Science, or a related field (or equivalent experience).
- Experience: 10+ years in data visualization, animation, or interactive design, with a portfolio showcasing emotive, data-driven animations.
- Technical Skills:
- Proficiency in JavaScript, including libraries like D3.js, Three.js, and p5.js for interactive animations.
- Strong command of HTML/CSS and SVG Animation.
- Experience with Adobe After Effects, Adobe Animate, or WebGL for complex visualizations.
- Familiarity with Python or R for data preparation is a plus.
- Creative Skills: Skilled in storyboarding, visual storytelling, and understanding of design principles related to color, typography, and animation timing.
- Ability to interpret data and identify key trends, as well as understanding audience psychology to enhance engagement.
- Experience working remotely.
- Prior consulting experience preferred.
Job Features
| Job Category | Data Science |
The Company At Servant Digital, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are committ...
- Assist in the preparation and revision of IA policy and guidance documents for specific cyber-security related technologies.
- Provide critical written and verbal analysis of systems documentation and vulnerability reports and risk assessments.
- Provide C&A support to include interpreting Security Technical Implementation Guidance (STIGs) evaluation for DoD Information Assurance Certification and Accreditation (DIACAP) and Risk Management Framework (RMF).
- Review vulnerability assessments, system security plans, and continuity of operations.
- Plan (COOP) artifacts for compliance.
- Provide input to ad-hoc requests as well as weekly and monthly project status reports.
- 4+ years of direct experience with cyber security requirements (IA Controls)
- 4+ years of experience working within DoD Services or Agencies
- 4+ years of experience resolving security findings discovered on network devices and operating systems
- 4+ year C&A package review for CA/DAA making risk-based recommendations.
- Excellent oral and written communication skills
Position: Cybersecurity Engineer Education: Bachelor’s degree in computer science, information systems, engineering, or a related scientific or technical discipline. Overview: Kreative Technol...
- Lead the management of Microsoft Sentinel and Defender XDR products, including their integration with existing tools, utilizing them to elevate existing Security Operations
- Design and optimize SIEM (Security Information and Event Management) rules using FortiSIEM to enhance threat detection and streamline incident response activities
- Deploy and manage Endpoint Detection and Response (EDR) solutions, specifically FortiEDR, SentinelOne, and Defender for Endpoint to identify and mitigate endpoint threats effectively
- Design and implement automated security use cases and playbooks to accelerate incident response and remediation
- Assist in overseeing the implementation and management of API security measures, ensuring secure data transmission and compliance with industry-standard API security protocols
- Collaborate with clients to understand their reporting needs and requirements and customize reports accordingly
- Develop, maintain, and automate client-facing reports using our existing security tools. These reports should effectively articulate incident metrics and trends to both technical and non-technical audiences. This role also includes automating the upload of these reports to the ServiceNow client portal
- Create and maintain materials documenting our security processes, procedures, and technologies, along with the generation of automated reports for relevant stakeholders
- Provide expert guidance on alarm tuning and configuration tasks necessary for Security Service deployment to new and existing customers
- Take a proactive role in updating client Security presentations and discuss findings with our clients
- Perform comprehensive analysis of data from our SOC and SIEM to identify patterns, anomalies, and potential threats
- Design and implement client reports, dashboards, and metrics, and manage response runbooks and walkthrough documents
- Stay informed about the latest security events and techniques to enhance our operations and defense strategies
- Other duties as required
- Proven experience with Microsoft Sentinel and Defender XDR products
- Strong background in SIEM rule design and optimization
- Extensive experience in implementing and overseeing Endpoint Detection and Response (EDR) solutions
- Experience with SOAR tools and automated security response implementations
- Excellent communication skills for both technical and non-technical audiences
- Demonstrated understanding of cybersecurity threats and incident response procedures
- Knowledge of risk assessment tools, technologies, and methods
- Expertise in computer networking and security
- Passion for cybersecurity and continuous learning
- Must be able to work effectively in a team environment and collaborate within the team and with other stakeholders
About Us Thrive is a rapidly growing technology solutions provider focusing upon Cloud, Cyber Security, Networking, Disaster Recovery and Managed Services. Our corporate culture, engineering talent, c...
We are seeking an experienced AI/ML Governance & Security Specialist to design, implement, and manage governance frameworks, security controls, and compliance strategies for AI and Machine Learning systems. The ideal candidate will ensure that AI solutions are secure, ethical, compliant, and aligned with regulatory and organizational standards.
Key Responsibilities
-
Develop and enforce AI/ML governance policies, standards, and best practices
-
Ensure secure development, deployment, and operation of AI/ML models
-
Identify and mitigate security risks related to AI systems, data pipelines, and models
-
Implement data privacy, model security, and access control mechanisms
-
Monitor AI systems for bias, fairness, explainability, and ethical compliance
-
Conduct risk assessments and security audits for AI/ML platforms
-
Ensure compliance with regulations such as GDPR, HIPAA, SOC 2, ISO 27001, and AI-related policies
-
Collaborate with data scientists, engineers, legal, and compliance teams
-
Establish incident response procedures for AI-related security threats
-
Document governance frameworks, security controls, and compliance reports
Required Skills & Qualifications
-
Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field
-
Strong understanding of AI/ML models, pipelines, and data workflows
-
Experience with AI security, model risk management, and governance frameworks
-
Knowledge of data privacy, encryption, access control, and secure model deployment
-
Familiarity with ethical AI principles, bias detection, and explainable AI (XAI)
-
Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools
-
Understanding of regulatory and compliance requirements for AI systems
-
Strong analytical, documentation, and communication skills
Preferred Qualifications
-
Certifications in AI, cybersecurity, or governance (CISSP, CISM, AI Governance, ISO 27001)
-
Experience with adversarial ML, model monitoring, and AI threat detection
-
Knowledge of NIST AI Risk Management Framework or similar standards
-
Experience in enterprise or regulated industry environments
Why Join Us?
-
Work on cutting-edge AI and ML security initiatives
-
Be part of a forward-thinking and innovative team
-
Opportunity to shape responsible and secure AI practices
-
Competitive salary and growth opportunities
Job Features
| Job Category | Cyber Security |
We are seeking an experienced AI/ML Governance & Security Specialist to design, implement, and manage governance frameworks, security controls, and compliance strategies for AI and Machine Learnin...
-
Collaborate with domain experts to understand requirements and translate them into actionable data science tasks
-
Learn from industry experts already at DTN
-
Conduct exploratory data analysis to identify trends, patterns, and anomalies in relevant datasets, including weather and Earth-observing satellite data, data from weather, energy, and agricultural modeling systems, and data from governmental sources such as the USDA, DOE, EIA, NOAA, and NASA
-
Identify and implement novel ways of integrating varied informational resources to fill in critical gaps in the data that are available for solving a particular problem
-
Develop and implement innovative machine learning models for classification, localization, prediction, and change detection
-
Develop data visualization tools and dashboards to communicate findings and insights to stakeholders
-
Apply satellite data in combination with other data resources and models to extract meaningful insights related to weather, agriculture, and energy
-
Conduct spatiotemporal analyses and build models to identify and forecast weather-related risks such as droughts, floods, and storms
-
Stay updated with the latest advancements in satellite imagery analysis, machine learning, and data science techniques
-
Flexible working hours
-
Remote work model (position dependent)
-
Competitive Medical, dental, and Vision Insurance Plans
-
6% 401(k) matching
-
Unlimited access to 13k+ courses via learning platform to support employee career advancement
-
Employee Assistance Program (EAP)
Why DTN?
Job Features
| Job Category | Data Science |
DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas,...
- Work with technology and business teams to deliver security processes, technologies and controls, acting as the authority on security related queries.
- Define, design, implement, and maintain security solutions appropriate to the business’ needs.
- Support the definition, execution and continuous improvement of key cybersecurity processes including vulnerability & patch management, security incident response, security monitoring, endpoint security, identity and access management, network security, and cryptography.
- Assist with developing and maintaining security policies, processes and incident response management plans and playbooks.
- Prepare and document standard operating procedures and protocols.
- Provide expertise on security requirements into core technology processes like asset management, change management, third-party management, technology development & acquisition, configuration management, etc.
- Contribute as a team member in projects and change initiatives aimed at increasing enterprise security capabilities e.g., identity and access management, log aggregation, etc.
- Minimum of 2 years’ experience in a Security Engineer/Analyst, role focusing on designing and implementing security solutions and managing security infrastructure.
- Previous experience working within a financial services environment and a working understanding of relevant regulations.
- Experience and in-depth technical knowledge of deploying, maintaining, and configuring a wide range of security technologies within a large and complex environment (anti-malware/EDR, SIEM solutions, vulnerability scanners, patch management, CASB, DLP, penetration testing tools, etc.)
- Knowledge of TCP/IP and related network protocols: knowledge of standard network protocols like TCP, ARP, ICMP, DHCP, DNS, HTTP, SNMP, VPN etc., and accompanying protocol/packet analysis/manipulation tools.
- Understanding of key operating systems and network appliances and the ability to assess their security posture based on their configuration/deployment.
- Experience of working effectively with a variety of stakeholders from different technology and business teams.
- Strong verbal and written communication skills.
- Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), or Certified Information Security Manager (CISM).
- Strong knowledge of Operating System security and system hardening concepts such as CIS Benchmarks.
- Experience in working with information security frameworks and regulatory requirements including ISO27001, NIST, PCI DSS, GDPR, Cyber Essentials.
- Experience of general IT Audit processes and conducting risk assessments.
Job Features
| Job Category | Cloud Security Engineer, Cyber Security |
Are you looking for a Security role within a dynamic, innovative financial technology organisation? If so, we are recruiting for an Cyber Security Engineer to join our cyber security team! Working alo...
- Education: Bachelor's degree in data science, animation, graphic design, computer science, or a related field (or equivalent experience).
- Experience: 10+ years in data visualization, animation, or interactive design, with a portfolio showcasing emotive, data-driven animations.
- Technical Skills:
- Proficiency in JavaScript, including libraries like D3.js, Three.js, and p5.js for interactive animations.
- Strong command of HTML/CSS and SVG animation.
- Experience with Adobe After Effects, Adobe Animate, or WebGL for complex visualizations.
- Familiarity with Python or R for data preparation is a plus.
- Creative Skills: Skilled in storyboarding, visual storytelling, and understanding of design principles related to color, typography, and animation timing.
- Ability to interpret data and identify key trends, as well as understanding audience psychology to enhance engagement.
- Experience working remotely.
- Prior consulting experience preferred.
The Company At Servant Digital, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are committ...
- Work with technology and business teams to deliver security processes, technologies and controls, acting as the authority on security related queries.
- Define, design, implement, and maintain security solutions appropriate to the business’ needs.
- Support the definition, execution and continuous improvement of key cybersecurity processes including vulnerability & patch management, security incident response, security monitoring, endpoint security, identity and access management, network security, and cryptography.
- Assist with developing and maintaining security policies, processes and incident response management plans and playbooks.
- Prepare and document standard operating procedures and protocols.
- Provide expertise on security requirements into core technology processes like asset management, change management, third-party management, technology development & acquisition, configuration management, etc.
- Contribute as a team member in projects and change initiatives aimed at increasing enterprise security capabilities e.g., identity and access management, log aggregation, etc.
- Minimum of 2 years’ experience in a Security Engineer/Analyst, role focusing on designing and implementing security solutions and managing security infrastructure.
- Previous experience working within a financial services environment and a working understanding of relevant regulations.
- Experience and in-depth technical knowledge of deploying, maintaining, and configuring a wide range of security technologies within a large and complex environment (anti-malware/EDR, SIEM solutions, vulnerability scanners, patch management, CASB, DLP, penetration testing tools, etc.)
- Knowledge of TCP/IP and related network protocols: knowledge of standard network protocols like TCP, ARP, ICMP, DHCP, DNS, HTTP, SNMP, VPN etc., and accompanying protocol/packet analysis/manipulation tools.
- Understanding of key operating systems and network appliances and the ability to assess their security posture based on their configuration/deployment.
- Experience of working effectively with a variety of stakeholders from different technology and business teams.
- Strong verbal and written communication skills.
- Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), or Certified Information Security Manager (CISM).
- Strong knowledge of Operating System security and system hardening concepts such as CIS Benchmarks.
- Experience in working with information security frameworks and regulatory requirements including ISO27001, NIST, PCI DSS, GDPR, Cyber Essentials.
- Experience of general IT Audit processes and conducting risk assessments.
Job Features
| Job Category | Data Science |
Are you looking for a Security role within a dynamic, innovative financial technology organisation? If so, we are recruiting for an Cyber Security Engineer to join our cyber security team! Working alo...
Key Responsibilities:
1. Laboratory & Environmental Monitoring
-
Assist with the preparation, execution, and documentation of environmental lab experiments (e.g., water/soil/air testing).
-
Collect, label, and store environmental samples in accordance with safety and regulatory protocols.
-
Operate and maintain lab equipment and environmental monitoring instruments (e.g., spectrometers, gas analyzers, IoT sensors).
2. Data Science & AI Integration
-
Preprocess and analyze lab-generated data using Python, R, or relevant data tools.
-
Collaborate with data scientists to implement AI/ML models that forecast environmental patterns or detect anomalies.
-
Manage environmental data pipelines and assist in building dashboards for real-time monitoring and reporting.
3. Cybersecurity & Data Integrity
-
Monitor and secure lab devices and data systems, particularly those connected to external networks or cloud environments.
-
Implement cybersecurity practices such as data encryption, user access control, and incident response protocols.
-
Conduct regular audits to ensure compliance with data privacy laws (e.g., GDPR, EPA data regulations).
Required Qualifications:
-
Associate or Bachelor’s degree in Environmental Science, Computer Science, Cybersecurity, or a related field.
-
Experience in a lab setting with a basic understanding of environmental testing protocols.
-
Proficiency in Python, SQL, or R for data processing and analysis.
-
Knowledge of AI/ML concepts and experience using AI tools or platforms.
-
Understanding of cybersecurity principles, including data protection, network security, and risk assessment.
Preferred Qualifications:
-
Certifications such as CompTIA Security+, GIAC, or Certified Lab Technician.
-
Familiarity with cloud platforms (AWS, Azure) used for environmental data storage.
-
Experience working with IoT or smart sensor technology for environmental monitoring.
Soft Skills:
-
Strong attention to detail and analytical mindset.
-
Ability to communicate technical findings to interdisciplinary teams.
-
Willingness to learn and adapt to emerging technologies in environmental science and cybersecurity.
Work Environment:
-
Work is performed in both laboratory and office settings.
-
May involve exposure to environmental samples and chemical substances.
-
Hybrid or on-site work depending on organizational needs.
Potential Employers:
-
Environmental research labs
-
Government agencies (e.g., EPA, NOAA)
-
Environmental tech startups
-
Universities and academic research institutions
-
Utility and energy companies
Job Features
| Job Category | Cyber Security, Cybersecurity Engineer |
Key Responsibilities: 1. Laboratory & Environmental Monitoring Assist with the preparation, execution, and documentation of environmental lab experiments (e.g., water/soil/air testing). Collect, l...
- Information Technology (IT)
- Revenue Cycle Management (RCM)
- Electronic Health Records (EHR)
- Design, develop, and maintain Power BI dashboards and reports.
- Perform data analysis and data modeling to create insightful reports.
- Interact with stakeholders to understand their business needs and goals.
- Provide training and support to business users in the effective use of Power BI dashboards.
- Extract, transform, and load (ETL) data from various sources into Power BI.
- Ensure data accuracy and consistent reporting by designing and creating data validation and error-checking methods.
- Integrate Power BI reports into other applications using embedded analytics or API automation.
- Optimize Power BI dashboards for usability, performance, and standardization.
- Maintain documentation for all functional and business requirements.
- Ensure compliance with data security and relevant regulations.
- A bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
- Proven experience in data analysis and business intelligence, specifically with Power BI.
- Proficiency in Power BI, including Power Query, DAX, and Power BI Service.
- Strong knowledge of SQL and data modeling.
- Familiarity with ETL (Extract, Transform, Load) processes.
- Familiarity with multiple data source types including flat file, SQL, REST API, etc.
- Experience with other BI tools (e.g., Tableau, Qlik) are a plus.
- Ability to work independently and on a team.
- While performing the duties of this job, the employee may be regularly required to sit, talk, hear, and use hands and fingers to operate a computer, telephone, and keyboard.
- Specific vision abilities required by this job include close vision requirements due to computer work.
Job Features
| Job Category | AI Engineer |
Position Title: Power BI Consultant Location: Remote Who is BRIDGE? BRIDGE Healthcare Partners is a not-for-profit organization founded in 2011. We are a mission based managed service organization f...
- 100% Deliver Execution & Problem Solving—Troubleshoot and quickly resolve escalated incidents Investigate and recommend corrective actions related to incidents Collaborate with Enterprise Technology to configure and integrate cybersecurity systems and services that mitigate risk Design, build, configure, maintain and monitor cybersecurity threat defense capabilities and user access management
- This Position typically reports to a manager or senior manager.
- This Position has 0 direct reports.
- No travel required.
- Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- No additional qualifications
- The knowledge, skills, and abilities typically acquired through the completion of a high school diploma and/or GED.
- No additional education
- 0
- No additional years of experience
- None
- None
- None
- Action Oriented
- Collaborates
- Communicates Effectively
- Customer Focus
- Drives Results
Job Features
| Job Category | Cyber Security, Cybersecurity Engineer |
Position Purpose: Protecting what matters most to our associates and consumers by securing our sensitive data and critical assets from current and emerging threats. At The Home Depot, cybersecurity co...
Requirements:
Strong object-oriented programmer
React (front end)
Typescript (LAMBDAS)
MicroServices (AWS LAMBDA)
Node (Back end)
Kubernetes (Containers, EKS, Clusters)
AWS (Cloud)
PostgreSQL (database)
Legacy is in Java and moving to C#
Use lambdas more heavy than .net
Api's are straight forward
Stronger on react and front end
.Net is now a plus not a requirement
Job Features
| Job Category | Data Science |
Title: Software Engineer Location: Hybrid Requirements: Strong object-oriented programmer React (front end) Typescript (LAMBDAS) MicroServices (AWS LAMBDA) Node (Back end) Kubernetes (Containers, EKS,...
Job Title: AI Interaction Designer
Location: Remote
Job Summary:
We are looking for a skilled and creative AI Interaction Designer to craft meaningful, intuitive, and ethical user experiences for AI-driven interfaces — including chatbots, voice assistants, and predictive systems. You’ll work closely with product managers, data scientists, UX researchers, and engineers to build smart systems that understand and adapt to user needs. This role requires a deep understanding of human-computer interaction (HCI), natural language design, and the unique challenges of designing with AI.
Key Responsibilities:
-
Design conversational flows, voice interfaces, and multimodal interactions for AI-powered products.
-
Translate machine learning capabilities into usable and empathetic design experiences.
-
Create wireframes, user flows, and high-fidelity prototypes that bring AI interactions to life.
-
Conduct usability testing focused on AI-driven experiences, iterating based on feedback and data.
-
Work with NLP engineers to align on intent design, language models, and fallback strategies.
-
Define persona, tone, and conversation strategy for voice/chat interfaces.
-
Develop interaction patterns that enhance user trust, clarity, and transparency in AI systems.
-
Address ethical challenges in AI, including fairness, bias mitigation, and explainability.
-
Collaborate in agile, cross-functional teams to rapidly develop and ship user-first AI experiences.
Qualifications:
-
3–6 years of experience in UX/UI design, with at least 1–2 years focused on AI or conversational interfaces.
-
Strong portfolio showcasing chatbot, voice, or AI-based interaction design work.
-
Proficiency in design tools like Figma, Adobe XD, and prototyping tools (e.g., ProtoPie, Principle).
-
Hands-on experience with conversational design platforms such as Dialogflow, Rasa, Voiceflow, or Amazon Lex.
-
Familiarity with natural language processing (NLP), machine learning concepts, and AI ethics.
-
Excellent communication and storytelling skills to advocate for user needs in AI-driven design.
-
Background in psychology, HCI, linguistics, or computer science is a plus.
Nice to Have:
-
Experience with LLM-based interactions (e.g., GPT-based assistants).
-
Knowledge of accessibility and inclusive design in conversational interfaces.
-
Coding or scripting skills for rapid prototyping (e.g., HTML/CSS, JavaScript, Python).
Why Join Us:
-
Help shape the future of how humans interact with intelligent systems.
-
Work in a fast-paced, innovation-driven environment.
-
Collaborate with a passionate, multidisciplinary team building next-gen AI products.
-
Access to mentorship, learning budgets, and growth opportunities in AI and design.
Job Features
| Job Category | AI Engineer, Data Science |
Job Title: AI Interaction Designer Location: Remote Job Summary: We are looking for a skilled and creative AI Interaction Designer to craft meaningful, intuitive, and ethical user experiences for AI-d...
Fraud Detection Specialist — Full Role Description
Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real-time risk monitoring, and cross-functional coordination to reduce losses and protect customers and the business.
Key responsibilities
-
Monitor real-time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.
-
Conduct end-to-end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.
-
Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.
-
Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML-based detectors; propose new logic.
-
Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.
-
Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; escalate high-severity cases and coordinate actions.
-
Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.
-
Support remediation and recovery efforts: transaction reversals, account actions, customer outreach, and preventive control rollout.
-
Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.
Success outcomes
-
Lower fraud losses and chargeback rates via faster, more precise interdiction.
-
Reduced false positives and better customer experience through improved scoring and tuning.
-
Clear, auditable investigations with timely, actionable reporting.
-
Proactive controls that address new fraud vectors before they scale.
Core skills and tools
-
Data analysis: SQL, Excel/BI, familiarity with log and event data; ability to spot anomalies and links in large datasets.
-
Fraud platforms: experience with real-time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.
-
Investigation: evidence collection, chain-of-custody awareness, case documentation, interviewing, and writing defensible reports.
-
Communication: concise escalation notes, stakeholder briefings, and cross-team coordination under time pressure.
-
Domain knowledge: card-not-present/payments, e-commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.
-
Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.
Typical day
-
Triage and review queued alerts; prioritize high-risk cases.
-
Deep-dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.
-
Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.
-
Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.
-
Summarize trends and recommendations for management.
Advanced/technical track (optional but valuable)
-
Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.
-
Streaming and real-time decisioning: low-latency pipelines to evaluate transactions in milliseconds.
-
Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.
Common fraud types
-
Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot-driven abuse, and social engineering impacts.
Career paths
-
Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.
Role variants and titles
-
Fraud Analyst, Fraud Prevention Specialist, Fraud Investigator, Fraud and Risk Analyst, Senior Fraud Analyst.
Why it matters now
-
Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.
Fraud Detection Specialist — Full Role Description Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior,...
Job Features
| Job Category | Data Analyst, Data Science |
Posting Description DATA ANALYST, MIT Energy Initiative, to serve as an advisor to the Institute Innovation Fellow (IIF), helping to conduct analysis across an array of projects. Reporting to the Pub...















