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We are seeking a highly skilled Cyber Security & Artificial Intelligence Engineer to design and implement intelligent security systems that proactively detect, analyze, and prevent cyber threats.

This role combines advanced cybersecurity practices with AI-driven threat detection, automation, and response systems. The ideal candidate will have hands-on experience in security operations, machine learning integration, and secure infrastructure design.

Key Responsibilities

• Design AI-powered threat detection and anomaly detection systems

• Develop machine learning models for intrusion detection and fraud prevention

• Monitor and respond to security incidents using SIEM tools

• Implement automated threat intelligence and response workflows

• Conduct vulnerability assessments and penetration testing

• Secure cloud environments (AWS, Azure, GCP)

• Integrate AI models into real-time security monitoring systems

• Develop predictive security analytics dashboards

• Collaborate with DevOps and engineering teams to implement secure architectures

• Stay updated with emerging cyber threats and AI security advancements

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Cyber Security, Computer Science, Artificial Intelligence, or related field

• 4+ years of experience in cybersecurity or AI-based security systems

• Strong knowledge of network security, firewalls, IDS/IPS, and SOC operations

• Programming experience in Python

• Experience with machine learning libraries (TensorFlow or PyTorch)

• Familiarity with SIEM tools (Splunk, ELK, or similar)

• Understanding of threat modeling and risk assessment

• Experience with automation and scripting for security operations

• Knowledge of cloud security best practices

Preferred Qualifications

• Certifications such as CEH, CISSP, Security+, or equivalent

• Experience with AI-driven threat intelligence platforms

• Knowledge of MLOps and secure AI deployment

• Experience with container security (Docker, Kubernetes)

Benefits

• Competitive compensation package

• Health, dental, and vision insurance

• Flexible working environment

• Opportunity to work on cutting-edge AI security solutions

• Career growth in advanced cybersecurity and AI research

Title: Azure Data Engineer

Job Overview

We are looking for a visionary Enterprise AI Leader / Director of AI to drive organization-wide AI strategy and transformation. This role is responsible for leading AI initiatives, aligning technology with business goals, and establishing a scalable and future-ready AI ecosystem.

You will act as a strategic decision-maker, guiding teams and stakeholders in adopting AI to create measurable business impact.

Key Responsibilities

• Define and execute the enterprise AI strategy and roadmap

• Ensure clear enterprise AI positioning aligned with business objectives

• Lead and manage cross-functional AI teams (data science, engineering, product)

• Drive AI adoption and digital transformation across departments

• Establish structured AI architecture alignment across all initiatives

• Oversee development and deployment of AI/ML solutions at scale

• Implement AI governance, compliance, and ethical AI frameworks

• Collaborate with executive leadership and key stakeholders

• Identify new AI opportunities to improve efficiency, revenue, and innovation

• Monitor performance, ROI, and impact of AI initiatives

Requirements

• Proven experience in leading enterprise AI or data-driven transformation

• Strong background in AI/ML, data platforms, and cloud technologies

• Demonstrated leadership in managing large, cross-functional teams

• Experience with enterprise-scale AI architecture and deployment

• Deep understanding of business strategy and AI alignment

• Recognized certifications in AI, cloud, or leadership (preferred)

• Excellent communication and stakeholder management skills

• Ability to define and maintain clear enterprise AI positioning

Preferred Qualifications

• Experience in C-level or director-level AI roles

• Knowledge of Generative AI, LLMs, and advanced analytics

• Background in AI governance, risk management, and compliance

• Experience driving ROI-focused AI initiatives

What We Offer

• Competitive executive salary ($180K – $250K+)

• Opportunity to lead enterprise-wide AI transformation

• High-impact leadership role with strategic decision-making power

• Collaborative and innovation-driven environment

Who Should Apply?

Leaders who are passionate about driving AI strategy, leading innovation, and transforming businesses through AI at scale.

job Overview

We are seeking a highly experienced AI Platform Architect to design, build, and scale enterprise-level AI platforms. This role focuses on creating robust infrastructure and frameworks that enable seamless development, deployment, and management of AI and machine learning solutions across the organization.

Key Responsibilities

• Design and develop scalable AI/ML platforms and infrastructure

• Build and manage end-to-end AI pipelines (data → model → deployment)

• Ensure structured AI architecture alignment across all systems

• Lead platform strategy for MLOps, automation, and model lifecycle management

• Integrate AI platforms with cloud environments (AWS, Azure, GCP)

• Ensure platform reliability, scalability, and security

• Collaborate with data scientists, engineers, and DevOps teams

• Optimize performance of AI systems and infrastructure

• Define standards, tools, and frameworks for AI platform development

  Requirements

  • Strong experience in AI platform architecture and engineering

  • Expertise in MLOps, CI/CD pipelines, and model deployment

  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)

  • Strong knowledge of data engineering, distributed systems, and APIs

  • Experience with tools like Kubernetes, Docker, and workflow orchestration

  • Understanding of structured AI architecture alignment

  • Recognized certifications in cloud or AI technologies (preferred)

  • Strong leadership and problem-solving skills

  Preferred Qualifications

  • Experience with large-scale enterprise AI platforms

  • Knowledge of Generative AI and LLM infrastructure

  • Familiarity with AI governance, monitoring, and compliance frameworks

  • Experience in building reusable AI frameworks and services

  • What We Offer

    • Competitive salary ($170K – $230K+)

    • Opportunity to build and lead advanced AI platforms

    • Work with cutting-edge technologies in AI and cloud

    • Career growth in high-impact enterprise AI roles

We are looking for a highly skilled AI Solutions Architect to design and deliver scalable, enterprise-grade AI solutions. In this role, you will bridge the gap between business needs and advanced AI technologies, ensuring successful implementation of AI strategies across the organization.

Key Responsibilities

• Design and develop end-to-end AI solutions and architectures

• Translate business requirements into technical AI strategies

• Ensure structured AI architecture alignment across projects

• Build and deploy machine learning models and AI systems

• Collaborate with data scientists, engineers, and stakeholders

• Integrate AI solutions into existing enterprise systems

• Ensure scalability, security, and performance of AI applications

• Guide teams on best practices in AI, ML, and MLOps

• Stay updated with the latest trends in AI and emerging technologies

Requirements

• Strong experience in AI/ML solution architecture

• Hands-on experience with Python, TensorFlow, PyTorch, or similar frameworks

• Expertise in cloud platforms (AWS, Azure, or GCP)

• Knowledge of data engineering, APIs, and system integration

• Experience with MLOps and model deployment pipelines

• Understanding of structured AI architecture alignment

• Recognized certifications in AI or cloud technologies (preferred)

• Strong problem-solving and communication skills

Preferred Qualifications

• Experience with Generative AI / LLMs

• Background in enterprise AI implementations

• Knowledge of AI governance and ethical AI practices

• Experience working in cross-functional teams

What We Offer

• Competitive salary ($160K – $220K+)

• Opportunity to work on cutting-edge AI projects

• Growth in a fast-paced, innovation-driven environment

• Leadership opportunities in AI transformation initiatives

Who Should Apply?

Professionals who are passionate about designing scalable AI systems, solving complex business problems, and leading AI innovation.

Job Overview

We are seeking an Insurance AI Specialist to develop and implement Artificial Intelligence solutions for the insurance industry. The candidate will help improve risk assessment, fraud detection, claims processing, and customer service using AI technologies.

Key Responsibilities

• Develop AI models for insurance risk analysis and prediction

• Automate claims processing using machine learning

• Build AI systems for fraud detection

• Analyze large insurance datasets to identify patterns and trends

• Work with data scientists and insurance teams to improve decision-making

• Implement AI-powered chatbots and automation tools

Required Skills

• Knowledge of Artificial Intelligence and Machine Learning

• Experience with Python, R, or data science tools

• Strong understanding of data analysis and predictive modeling

• Familiarity with insurance processes and risk management (preferred)

Qualifications

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

• Experience with machine learning frameworks (TensorFlow, Scikit-learn, etc.)

• Strong analytical and problem-solving skills

Benefits

• Competitive salary package

• Opportunity to work on AI-driven insurance technologies

• Professional development opportunities

• Innovative and collaborative work environment

- Currently enrolled in an accredited college or university Master's degree program. - Majoring in Computer Science, Statistics or a related STEM discipline. - Graduation date falls in May/June 2027 and beyond. - Ability to work year-round: part-time during the school year and full-time during the summer. - Living within commutable distance to Austin, TX and able to work in-person for all hours. The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain on-the-job applied science and machine learning experience and receive excellent mentoring while completing their education. Jr. Applied Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Applied Science Mentor, Jr. Applied Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of your degree and success in the Jr. Applied Scientist role, the opportunity for full-time employment will be available at the Amazon corporate site in Austin, TX. The Jr. Applied Scientist role is part of the Jr. Developer Program, a unique internship program in several respects: • We offer work year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time applied scientists, data scientists, business intelligence engineers, and software development engineers are willing and able to mentor exceptional student applied scientists, data scientists, SDEs, and BIEs. • Jr. Applied Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” applied science and machine learning experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities • Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services. • As an Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with distributed systems of data and providing technical partnership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. • This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. • The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.

What you can expect Zoom's Cyber Threat Intelligence team is seeking a remote Senior Analyst. This person will monitor the evolving threat landscape and deliver operational assessments that provide real-time awareness of global cyber threats to Zoom. The ideal candidate has a good understanding of intelligence tradecraft. They also bring solid technical skills in threat research, analysis, and reporting to help peer teams and leadership understand Zoom's cyber threat environment. A successful candidate is impact-driven, communicates effectively, and builds solid relationships with stakeholders and peer teams.   About the Team The Threat Intelligence team plays a critical role in identifying, analyzing, and responding to a broad range of security threats across the organization. The team focuses on both physical and cyber domains, including risk analysis, insider threats, malware, and emerging threat actors. Their work helps safeguard our people, assets, and technology from evolving global risks.   Responsibilities

• Providing real-time awareness, early warning, and operational readiness to defend Zoom against global cyber threats
• Developing and maintaining adversary profiles and mapping threat activity using frameworks such as MITRE ATT&CK, Cyber Kill Chain, and Diamond Model
• Performing technical threat intelligence analysis to collect, enrich, and evaluate threat information to identify malicious activity and support detection and response efforts
• Researching, writing, and disseminating intelligence products using structured analytic techniques tailored to both technical and non-technical stakeholders
• Delivering briefings, presentations, and written reports to senior and executive leadership to inform strategic decision-making and drive security recommendations
• Identifying collection gaps and employing intelligence-gathering methods across open and closed sources
• Working closely with peer security teams to provide contextual threat intelligence, triage potential incidents, and assess the impact of threats to Zoom. Building and maintaining intelligence-sharing partnerships with internal and external stakeholders.
• Collaborating with cross-functional security teams to provide timely, actionable threat intelligence that enhances Zoom's defensive posture and drives leadership decision-making

  What we’re looking for

• Have extensive experience in cyber threat intelligence, threat hunting, or related cybersecurity discipline within an operational and tactical setting.
• Have a good technical understanding of attacker tradecraft, common attack vectors, and tactics, techniques, and procedures attackers use to propagate across systems and networks
• Have proven experience in research, writing, and publishing analytic reports for both technical and non-technical audiences
• Possess good knowledge and hands-on experience with threat intelligence frameworks. This includes tools used to identify and track adversary behavior and tradecraft, such as MITRE ATT&CK, the Cyber Kill Chain, and the Diamond Model.
• Have hand-on experience using threat intelligence platforms and SIEMs
• Have experience participating in incident response, threat investigations, and escalating detection recommendations to enhance security posture
• Able to demonstrate the ability to work cross-functionally with security, engineering, and product teams
• Have knowledge of intelligence collection methodologies and management

  In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!   Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.   Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.   About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

We are seeking a visionary Director of AI & Data Science to lead enterprise-level artificial intelligence initiatives and drive innovation through advanced machine learning solutions. This role requires a strategic thinker with deep technical expertise and strong leadership capabilities to build scalable AI systems that directly impact revenue, operations, and customer experience.

The ideal candidate will oversee the full AI lifecycle — from research and model development to deployment and optimization — while managing a high-performing team of data scientists, ML engineers, and analysts.

Key Responsibilities

AI Strategy & Leadership

• Define and execute the company’s AI roadmap

• Lead and mentor a team of data scientists and ML engineers

• Collaborate with executive leadership to align AI initiatives with business goals

• Drive innovation in Generative AI, NLP, Computer Vision, and Predictive Analytics

Model Development & Deployment

• Architect and deploy scalable ML and deep learning models

• Oversee model lifecycle management and MLOps practices

• Ensure production-grade AI systems with high reliability and performance

• Implement responsible AI and governance frameworks

Data & Infrastructure

• Work with data engineering teams to build scalable data pipelines

• Optimize cloud-based AI infrastructure (AWS, Azure, GCP)

• Manage big data environments (Spark, Hadoop)

Business Impact

• Translate complex AI solutions into measurable business value

• Present AI strategies and insights to C-level executives

• Identify new AI-driven revenue opportunities

Required Qualifications

• Master’s or PhD in Computer Science, AI, Data Science, or related field

• 8+ years of experience in AI/ML roles

• Strong expertise in Python, TensorFlow, PyTorch

• Experience deploying large-scale AI systems in production

• Proven leadership experience managing technical teams

• Deep understanding of ML algorithms, deep learning, NLP, and LLMs

Preferred Qualifications

• Experience with Generative AI and Large Language Models

• Published research or patents in AI

• Experience building AI products from scratch

• Strong business and financial acumen

Core Skills

• AI Strategy & Architecture

• Machine Learning & Deep Learning

• MLOps & Model Deployment

• Cloud AI Infrastructure

• Team Leadership & Stakeholder Communication

Compensation & Benefits

• Competitive salary: $200,000 – $250,000

• Performance bonuses & equity options

• Health, dental & vision insurance

• Flexible work environment

• Executive leadership growth opportunities

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.   We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.  

Meet the team:

As a Digital Marketing Analytics Manager, you will be responsible for the analytics maintenance, insights, and reporting of our eCommerce website and ancillary digital channels. A successful candidate typically possesses a blend of technical skills, analytical prowess, and strategic thinking. Your insights will be critical in shaping our digital marketing experiences on the website and optimizing conversion rates across the checkout funnel through A/B testing and personalization.   Where you come in:

• You will analyze performance data from ecommerce platforms to understand customer behavior, sales trends, and digital content performance.
• You build and maintain detailed reports and dashboards to supervise key performance indicators (KPIs) across disparate data sources, with a focus on ecommerce and website channel traffic metrics.
• You will identify opportunities for improving conversion rates across web and engagement channels and implement strategies to improve user experience and increase sales.
• You will craft, implement, and analyze A/B tests to optimize marketing strategies and tactics and personalize the site experience, particularly for ecommerce.
• You will provide actionable insights and recommendations to drive sales, new user acquisition, and ecommerce conversion rates (desktop and mobile).
• You will lead operations through Google Tag Manager (and collaboration with developers when needed) to ensure tracking and reporting of marketing activities are accurate and follow Dexcom consent guidelines.
• You will ensure data accuracy and integrity across all marketing platforms and tools.

 

What makes you successful:

• You bring a minimum of 4-6 years of experience in digital marketing analytics or a related role, in-house or agency setting.
• You are proficient with analytics tools such as Google Analytics 4, Google Tag Manager, and data visualization tools like Tableau or Power BI.
• You have experience with testing and personalization solutions, like VWO, Google Optimize, or similar.
• You exhibit strong analytical and problem-solving skills with the ability to interpret sophisticated data and provide actionable insights.
• You have excellent verbal and written communication skills, with the ability to present data and insights to non-technical stakeholders.
• You exhibit high attention to detail in analysis and reporting.
• You bring outstanding interpersonal/diplomatic skills, the ability to trust and credibility, and a history of driving results through influence at all levels of the organization.
• You have a clear track record of leading across multiple projects, making smart and fast decisions, partnering cross-functionally, delighting collaborators, and driving dramatic growth through successful content marketing strategies and execution in a fast-paced environment.
• You exhibit a strong desire to learn quickly and to work independently with minimal direction, while also functioning and contributing as part of a team.

 

Experience and Education Requirements:

• Typically requires a Bachelor's degree with 8-12 years of related experience.
• At this level a graduate degree may be desireable with 4 years of related experience.

 

What you’ll get:

• A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community .
• A full and comprehensive benefits program.
• Growth opportunities on a global scale!
• Access to career development through in-house learning programs and/or qualified tuition reimbursement.
• An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

  Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option. Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.   An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom’s AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.

2020 Companies is now hiring a full-time remote Data Quality Assurance Analyst The Data Quality Assurance Analyst plays a vital role in ensuring the accuracy, integrity, and reliability of data flowing through our systems which is ultimately used for critical internal and external reporting. This individual will collaborate closely with the I/S and business analytics teams to implement and maintain robust data quality processes, identify and resolve data discrepancies, and contribute to a culture of data-driven decision-making. What's in it for you?

• Work remotely
• Competitive annual salary, paid weekly
• Next day pay on-demand with DailyPay
• Health/Dental/Vision benefits
• 401K Program with matching
• Paid Time Off
• Paid Holidays
• $30 Mobile Reimbursement
• Scholarship opportunities for employees and direct family members
• Employee Assistance Program
• Leadership Development Program

About 2020 Companies At 2020 Companies, we work for you. As a long-standing partner with many world-renowned clients in the wireless and consumer electronics sectors, we provide talent who personally connect with our consumers by inspiring participation, creating a memorable brand experience, and influencing future purchase decisions to form customers forever. Job Description Essential Duties and Responsibilities Data Quality Assurance

• Develop, implement, and maintain comprehensive data quality assurance processes, including data profiling, data validation, and data cleansing.
• Collaborate with I/S and business analytics teams to establish data quality standards, metrics, and KPIs.
• Conduct regular data audits and assessments to identify and address data quality issues.
• Develop and execute test cases to ensure data accuracy throughout the data lifecycle.
• Monitor data ingestion, calculations, manipulation, and outputs within Salesforce to ensure data integrity.
• Work with stakeholders to define and implement data quality improvement initiatives.

Data Analysis And Reporting

• Analyze complex data sets to identify trends, patterns, and anomalies.
• Generate reports and visualizations to communicate data quality findings and recommendations to stakeholders.
• Collaborate with business users to understand data requirements and ensure data quality meets their needs.
• Support the development of data-quality dashboards and scorecards.

Collaboration And Communication

• Build and maintain strong working relationships with I/S, business analytics, and other key stakeholders.
• Facilitate effective communication and collaboration across teams to promote data quality awareness and best practices.
• Provide training and support to users on data quality processes and tools.

Continuous Improvement

• Stay abreast of industry best practices and emerging trends in data quality management.
• Research and evaluate new data quality tools and technologies.
• Proactively identify opportunities for process improvement and automation.

Qualifications Education and Experience:

• Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.
• 3+ years of experience in data quality assurance or a related role.
• Strong understanding of data management principles, data warehousing, and ETL processes.
• Experience working with Salesforce or other CRM systems is preferred.
• Proficiency in SQL and data analysis tools.
• Experience with data visualization tools (e.g., Power BI) is recommended.

Skills And Abilities

• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective communication and collaboration skills.
• Ability to work independently and as part of a team.
• Ability to manage multiple priorities and meet deadlines.
• Proactive and results-oriented approach.

What You Can Expect From 2020 Companies We welcome every voice, and we are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We are always identifying opportunities to encourage our team to be their authentic selves, while working to provide a best-in-class experience for our employees. Whether that’s paid holidays, long-term career pathing options, personal development opportunities or professional stretch assignments, you can expect 2020 Companies to support you. 2020’s Commitment We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

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.

Title: Cloud Security Engineer Location: Hybrid

Executive Summary The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:

• Tool and Platform Security:
  • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
  • Manage security integrations with Ulta's identity management systems

• Monitoring and Incident Response:
  • Set up continuous monitoring for security events and anomalies across the integration platforms.
  • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.

• Compliance and Auditing:
  • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
  • Conduct regular audits of security controls and recommend improvements as needed.

• Documentation and Knowledge Transfer:
  • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
  • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:

• Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
• Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
• API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
• Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.

This position will require being on-site 1 day a week, in either the Chicago or Washington, DC office. This position will support the Part D Medicare Compliance Officer. Preference will be given to candidates with experience in Medicare Programs. Designs and documents business process requirements for all related business, financial, and operational systems critical to core business functions within FEP for support of the Medicare Prescription Drug Program, and other Medicare programs. This may require the Business Analyst to research and analyze data in support of business functions, process knowledge, and systems requirements. Recommends new or improvements to existing business and operational processes and procedures. Manages projects to build a Medicare Compliance Program. Manages compliance program auditing and monitoring activities. Assists with audit readiness. This person should have 7 years’ experience in the health payer industry – Blues or FEHBP experience desirable. Experience in Medicare Program Audits or Medicare CPE Audits is desirable. Experience with Compliance Programs is preferred. Deliverable: · compliance training tracking · auditing and monitoring compliance program · monthly exclusion check monitoring · updating policies and procedures · drafting SOPs · compliance hotline monitoring · compliance program communications · compliance committee meetings · sharepoint folder · compliance program workplan · HPMS memo review and analysis · compliance program liaison with FEP · Medicare Compliance shared mailbox owner · attend monthly MAPD Plan calls · Part CD ListServ owner · assist with Compliance Program audit readiness Ability to Commute:

• North Chicago, IL 60064 (Required)

Ability to Relocate:

• North Chicago, IL 60064: Relocate before starting work (Preferred)

Work Location: In person