Live Jobs

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.

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.

SUPERVISION RECEIVED: Works under the general supervision of a higher grade. EXAMPLES OF DUTIES: Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources; Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs; Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources; Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks; Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines; Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making; Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons; Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations; Performs other related duties as required. KNOWLEDGE, SKILLS AND ABILITIES: Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts; Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises; Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts; Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail; Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling; Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently; Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations; Proven ability to communicate complex data analytics using clear and concise methods and presentation media. EXPERIENCE AND TRAINING: GENERAL EXPERIENCE: Six (6) years of experience in a healthcare data analytical role. SUBSTITUTION ALLOWED: Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience. PREFERRED QUALIFICATIONS: Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau. Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data. Experience with Epic electronic medical records platform. Experience with data analytics related to value-based programs. Why UConn Health UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

Location: Remote

Must Have:

• 8+ years of solid project management
• We need a PM who worked primarily on cybersecurity and/or infrastructure projects
• Project Management Professional (PMP) certification

Job description

Seeking a seasoned senior a Project Manager (Cybersecurity and Infrastructure) with 8+ years of solid project management experience for our clients IT projects spanning multiple systems & technologies including infrastructure, Security, Cloud technologies, Applications etc. The ideal candidate must have demonstrable skills delivering projects in close collaboration with multiple stakeholders, vendors and implementation partners

 

Required Qualifications

• Demonstrated project leadership, reporting and management skills.
• Demonstrated effective communication (written & verbal) and interpersonal skills.
• Demonstrated ability to present/communicate technical information to technical and non-technical personnel at various levels in the organization.
• Self-motivated and works independently and as part of a team.
• Able to deliver projects timely within budget and defined scope.
• Demonstrated complex problem-solving skills with a 'can do' attitude.
• Ability to navigate through ambiguity.

Preferred Qualifications

• Experience managing cybersecurity and/or infrastructure projects
• CSM certification

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

Founders Federal Credit Union helps our members attain their financial goals. Our innovative services, convenient locations, and friendly employees are dedicated to our members and their financial future. Founders Federal Credit Union is strongly committed to providing the highest level of quality service to our members. We realize our outstanding, dedicated employees make it all happen. Do you have experience implementing security controls, penetration testing and cybersecurity risk assessments? If so, this position may be the right fit for you! Founders is searching for a passionate cybersecurity professional to join our IT team as a Cybersecurity Analyst. This position is located on site at our Corporate Headquarters in Lancaster, SC. Remote work is not available, however the individual may be able to work at our Rock Hill Center upon completion of training. Responsibilities And Duties The Cybersecurity Analyst is responsible for ensuring effective integration of Information Technology systems and services with the Information Security Program and Information Security Policy. The Cybersecurity Analyst is primarily responsible for protecting Founders from cyberattacks. This involves researching upcoming IT trends, reviewing suspicious activities, reporting security breaches, and educating employees on cybersecurity. The Cybersecurity Analyst will support and participate in the FIT offerings related to cybersecurity. Additional Responsibilities Include, But Are Not Limited To

• Monitor cybersecurity software used in environment.
• Investigate incoming alerts and escalate as necessary.
• Investigate suspicious email reports.
• Review incoming incident response hotline calls.
• Threat hunting within the environment to prevent security incidents.
• Perform vulnerability scans in environment. Research solutions to vulnerabilities and work alongside system owners and techs to remediate vulnerabilities.
• Create Threat Assessments to aid in evaluating risks posed by vulnerabilities or potential threats based on research of upcoming trends and intelligence feeds.
• Work with other CSOC team members to create and execute Security Awareness Training and Testing for the enterprise and FIT clients.
• Gather information as required to present in board reports.
• Assist with maintaining email filtering systems and release emails when deemed safe.
• Participate in CSOC team meetings.
• Assist with reviewing and remediating items found during audits, both internal and external.
• Develop and support cybersecurity environments for FIT CUSO clients.
• On-Call Rotation for after hour alerts/cybersecurity.
• Comply with Founders’ policies and procedures, as well as applicable laws, regulations, and statutes issued by federal agencies such as NCUA and FFIEC, including, but not limited to, GLBA and BSA. Employees have legal and regulatory obligations to respect and protect the privacy of information and its integrity and confidentiality.
• All other duties as assigned.

Job Specifications The Cybersecurity Analyst must have the ability to analyze, research, and resolve questions and possess the ability to learn quickly and adjust to technological changes. The ideal candidate must have the following skills & qualifications:

• Excellent communication, documentation skills, and the ability to understand and explain technical details to technical and non-technical audiences is required to be successful.
• Ability to effectively communicate on complex issues with a high level of effectiveness.
• The ability to work in a team, present a trustworthy image, and deal effectively with others is required.
• Must be a self-starter with the ability to manage multiple work assignments and priorities with urgent deadlines, maintain excellent service delivery, while working with a fast-paced team.
• Strong data analysis, research, analytical and testing skills.
• Able to work independently without significant supervision.
• Bachelor’s degree in computer science or a related field is preferred.
• ISACA Cybersecurity Fundamentals certification is required within 12 months.

Due to the nature of project deadlines and implementation schedules, evening and weekend work may be required. Due to the critical nature of data security, each employee has the responsibility to protect company data. Employees have legal and regulatory obligations to respect and protect the privacy of information and its integrity and confidentiality. Guidance is contained in the company information security policies. Violations of policy may result in disciplinary action, up to and including termination. Adhere to the principle of least privilege to reduce the risk of unauthorized access to critical systems or sensitive data by maintaining account permissions to accounts, processes and programs only required to do the job assigned. Follow the asset management lifecycle process and procedures to support the efforts in maintaining an accurate and efficient configuration management inventory. Maintain a knowledge and understanding of the roles and responsibilities of the Incident Response teams defined in the Incident Response Plan. Benefits Provided Include The Following

• Paid Holidays
• Paid Time Off
• Family-oriented culture that values work/life balance
• Retirement Plan (401k with employer contributions + Pension Plan fully funded by FFCU)
• Comprehensive Health and Dental Insurance
• Life and Accidental Death & Dismemberment Insurance (at no cost to employee)
• Voluntary Supplemental Life Insurance coverage for employee, spouse, and children
• Health Care and Dependent Care Flexible spending accounts
• Long Term Care Plan
• Short-Term and Long-Term Disability Insurance
• Tuition reimbursement to assist with furthering education
• Certifications - Assistance with achieving and maintaining
• Fit Founders Wellness Program

Additional Links:

• This position is Benefit eligible; click here for an overview of available benefits.
• This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
• This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
• UConn Health

PURPOSE OF CLASS: At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports. **Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa's or candidates that cannot relocate to Connecticut at this time. SUPERVISION RECEIVED: Works under the general supervision of a higher grade. EXAMPLES OF DUTIES: Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources; Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs; Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources; Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks; Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines; Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making; Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons; Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations; Performs other related duties as required. KNOWLEDGE, SKILLS AND ABILITIES: Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts; Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises; Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts; Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail; Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling; Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently; Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations; Proven ability to communicate complex data analytics using clear and concise methods and presentation media. EXPERIENCE AND TRAINING: GENERAL EXPERIENCE: Six (6) years of experience in a healthcare data analytical role. SUBSTITUTION ALLOWED: Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience. PREFERRED QUALIFICATIONS: Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau. Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data. Experience with Epic electronic medical records platform. Experience with data analytics related to value-based programs. SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm. Why UConn Health UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

About the Company:

We are a fast-growing AI-driven technology company at the forefront of data science and digital marketing innovation. Our mission is to leverage AI and analytics to deliver measurable growth and create intelligent marketing solutions that transform how businesses engage with customers.

Job Responsibilities:

• Lead the development and execution of AI-driven marketing performance strategies to drive revenue, engagement, and customer acquisition.

• Use data science techniques, predictive analytics, and AI tools to optimize marketing campaigns across multiple channels.

• Collaborate closely with product, sales, and data teams to ensure marketing strategies are aligned with business objectives and AI initiatives.

• Manage a high-performing team of marketing analysts, data scientists, and performance marketers, fostering innovation, collaboration, and accountability.

• Measure and analyze campaign performance, deriving actionable insights to continuously improve ROI.

• Oversee AI-powered automation, personalization, and targeting strategies to enhance customer experiences.

• Develop dashboards, reports, and presentations for executive leadership to track KPIs and strategic outcomes.

Qualifications:

• 8–15+ years of experience in marketing, with a minimum of 5 years in leadership roles focusing on performance marketing and AI.

• Strong expertise in data science, analytics, and AI applications in marketing.

• Experience with AI marketing tools, marketing automation platforms, and advanced analytics software.

• Proven track record of driving measurable business growth through data-driven marketing campaigns.

• Exceptional leadership, strategic thinking, and cross-functional collaboration skills.

• Experience in SaaS, AI, or technology-focused companies is highly preferred.

• Excellent communication skills with the ability to present complex insights to executive teams.

Perks & Benefits:

• Competitive base salary + performance bonus

• Equity / stock options participation

• Flexible work arrangements (remote/hybrid)

• Health, dental, and vision coverage

• Professional development and AI-focused training opportunities

💡 Why Join Us:
Lead the intersection of AI, marketing, and data science, shape performance strategies that directly impact business growth, and be part of a forward-thinking team that is transforming the marketing landscape with data and AI.

THRIVE is looking for a skilled Threat AI Engineer to design, develop, and deploy AI-driven solutions for threat detection, prevention, and response. This role focuses on leveraging machine learning, AI models, and security analytics to identify cyber threats, anomalies, and attack patterns in real time.

The ideal candidate will combine expertise in AI/ML with cybersecurity to strengthen THRIVE’s threat intelligence and defense capabilities.

Key Responsibilities

• Design and develop AI/ML models for cyber threat detection and prediction

• Analyze large-scale security data such as logs, network traffic, and alerts

• Build automated threat intelligence and anomaly detection systems

• Implement AI-based solutions for malware detection, fraud detection, and intrusion prevention

• Collaborate with cybersecurity teams to enhance SOC and threat response workflows

• Continuously monitor and improve model performance and accuracy

• Identify adversarial AI risks and implement defensive strategies

• Ensure secure deployment of AI models using MLOps best practices

• Document threat models, AI pipelines, and security processes

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Cybersecurity, or a related field

• Strong knowledge of Machine Learning, Deep Learning, and data analytics

• Experience with cybersecurity concepts such as SIEM, SOC, IDS/IPS, malware analysis, and threat intelligence

• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks

• Experience with cloud platforms (AWS, Azure, or GCP)

• Understanding of network security, endpoint security, and log analysis

• Strong problem-solving and analytical skills

Preferred Qualifications

• Experience with AI-driven security platforms or threat detection tools

• Knowledge of adversarial machine learning and AI security threats

• Familiarity with MITRE ATT&CK framework

• Certifications in cybersecurity or AI (CEH, CISSP, Security+, AI/ML certifications)

• Experience working in SOC or enterprise security environments

Why Join THRIVE?

• Work on advanced AI-powered cybersecurity solutions

• Be part of an innovative and security-focused organization

• Opportunity to solve real-world cyber threat challenges using AI

• Competitive salary, benefits, and career growth opportunities

Overview

As a Penetration Tester you will perform formal and comprehensive penetration testing assessments, including producing full written reports to appropriate standards and within agreed deadlines. In addition, you will support with client pre-engagement activities, including scoping and proposal drafting, as well as researching application and infrastructure vulnerabilities, following responsible disclosure, and sharing such findings within the team.  

Responsibilities

• Perform formal and comprehensive application, infrastructure and other penetration testing assessments where appropriate and required
• Provide well-written, concise, technical and non-technical reports in English
• Perform vulnerability assessments and provide findings with remediation actions
• Support with various client pre-engagement interactions, including scoping activities and proposal drafting to ensure that client needs are met
• Manage and deliver penetration testing project activities within strict deadlines
• Support the QA process to ensure high quality client reports are delivered in accordance with applicable Service Level Agreement (SLA)
• Any other appropriate job duties in line with the associated skill and experience of the post holder

 

Skills and experience required

• Proven industry experience in application and infrastructure penetration testing
• Deep knowledge of assessing both Windows and Linux environments, including strong knowledge of Active Directory and wireless technologies
• Ability in preparing and launching social engineering campaigns (both phishing and vishing)
• Strong understanding of OWASP, PTES and other penetration testing methodologies
• Knowledge of how modern web apps are designed, developed and deployed across different platforms
• Ability to program or script in your preferred language
• Relevant degree in Computer Science, Ethical Hacking, Engineering or other relevant subject
• Relevant security qualifications (such as OSCP, CEH, GPEN)
• Good knowledge and understanding of network and OS principles
• Good knowledge of various operating systems
• Good knowledge of virtualization

 

Nice to have

• Knowledge of assessing cloud and hybrid environments (AWS and Azure)
• Knowledge of assessing mobile applications (iOS/Android)
• Knowledge of assessing hardware and embedded IoT devices

 

Personal Attributes

• Excellent spoken and written communication skills with strong attention-to-detail and accuracy
• A passion for security and networks
• Analytical and problem-solving skills with a can-do attitude and the ability to think laterally
• Self-motivation with a commitment to continued development
• Ability to work independently and as part of a team
• Influencing and negotiation skills with the ability to build relationships at all levels
• Willingness to learn

 

Benefits

• 25 days annual holiday plus 8 paid public holidays
• An additional day’s annual holiday for your birthday
• Pension/401k contribution
• Subsidized gym membership
• Frequent team events
• Private Healthcare (individual cover only)
• Learning Allowance Benefit
• Flexible working policy

 

Company Overview

Target Defense Inc is the US arm of Bulletproof Cyber Ltd and is a trusted provider of innovative cyber security solutions. From CREST-certified penetration testing to professional consultancy services, the Target Defense team help protect businesses of all sizes against the evolving threat landscape. Our cyber security services are the best way to stay one step ahead of the hackers, take control of your infrastructure and protect business-critical data. Please note that as part of the recruitment process a criminal records check will be carried out by an authorised third party.