Data Loss Prevention Analyst Job at Randstad (Geneva)

Senior Data Loss Prevention (DLP) Analyst

The Senior Data Loss Prevention (DLP) Analyst is a subject matter expert respons...

Location

United States , San Jose

Salary:

152000.00 - 180000.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Cybersecurity, Information Security, Computer Science, or related fields
3+ years of experience in cybersecurity, with a focus on data loss prevention, insider threat, or data protection
Deep technical expertise in DLP solutions (e.g., Microsoft Purview, Cyberhaven, Digital Guardian, Netskope)
Experience with data discovery, classification, and protection technologies
Strong analytical, investigative, and incident response skills
Familiarity with SIEM tools and user behavior analytics (UBA)
Excellent written and verbal communication skills
ability to convey technical concepts to non-technical stakeholders
Ability to work collaboratively in cross-functional teams and manage multiple priorities

Job Responsibility

Design, implement, and maintain enterprise DLP technology solutions across endpoints, servers, cloud, and network environments
Act as a subject matter expert for DLP tools (Cyberhaven, Digital Guardian, Case Management)
Develop and refine DLP policies and technical architecture diagrams
Oversee DLP endpoint agent deployment, configuration, and maintenance
Lead data discovery and classification efforts using DLP and information protection tools
Collaborate with privacy, engineering, and cybersecurity teams to ensure data is classified and protected
Monitor and analyze DLP alerts to detect and respond to potential data loss or exfiltration incidents
Investigate and resolve incidents involving the theft or loss of sensitive data
Manage insider risk using dedicated tools
Tune DLP policies and rules to reduce false positives and enhance detection accuracy

Fulltime

Fraud and Loss Prevention Analyst

GBS Fraud and Loss Prevention Team is responsible for assessing and mitigating p...

Location

Philippines , Taguig City

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree holder preferably Business, Finance or related discipline
Fluency in conversational English, both verbal and written, is required
Highly analytical, with a focus on risk detection and fraud prevention
Strong knowledge of MS Office Applications and data analytics and Business intelligence tools (i.e., KNIME, PowerBI, SQL etc.)
Fundamental understanding of credit card industry, regulatory and legal compliance, revenue management and call center processes
Has knowledge or background related to fraud, audit, business related investigations, working with US entities and individuals, cash accounting, and credit cards is an advantage
4+ years relevant experience on operations audit or fraud detection and investigation

Job Responsibility

Process assigned daily transactions within agreed service levels, meeting productivity and quality targets
Monitor accounts and transactions to identify suspicious activity, potential losses, and fraudulent behavior by advisors, members, or dealerships
Investigate and resolve billing issues, charge disputes, and payment-related escalations
validate refunds/adjustments and prevent revenue leakage
Execute fraud investigations: develop investigation plans, gather and analyze evidence and data, perform research, and present findings and recommendations to management
Maintain and follow standard operating procedures
ensure strict confidentiality of all customer information
Prepare reports and KPI packages, analyze trends, and set/track aggressive but achievable performance targets
Identify and communicate new fraud scenarios, process gaps, and improvement opportunities
support and champion continuous improvement, quality, and innovation

Fulltime

Fraud & AML Data Analyst

Shape the future of trust in the age of AI. At Oscilar, we're building the most ...

Location

Salary:

Not provided

Oscilar

Expiration Date

Until further notice

Requirements

4+ years of experience as a data analyst, data scientist or a related field, with a focus on fraud prevention and/or anti-money laundering
Proficiency in Python and SQL
Knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection
Experience working with large datasets and handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale
Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data
Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences
Ability to work independently and collaboratively in a fast-paced, dynamic startup environment

Job Responsibility

Analyze large-scale transaction, account, and behavioral datasets to identify fraud, AML, and abuse patterns across: Onboarding (synthetic identity, fake accounts, mule risk), Account activity (ATO, session hijacking, social engineering), Payments (card-not-present fraud, ACH/wire fraud, crypto typologies)
Develop risk segmentation, cohorts, and KPIs (fraud rate, approval rate, loss rate, false positives)
Evaluate rule-based and ML-driven decision strategies and quantify performance trade-offs
Partner with customers to: Diagnose their fraud and AML pain points, Interpret model outputs, alerts, and decision logic, Design and refine risk strategies using our platform
Produce customer-facing analytics, dashboards, and readouts that translate data into actionable risk decisions
Act as a trusted analytics advisor for customers implementing or scaling fraud programs
Work closely with Product and Engineering to: Define data requirements and success metrics for new features, Provide feedback on model explainability, rule tooling, and case workflows, Identify gaps in data, signals, or product capabilities based on real customer usage
Support experimentation (A/B tests, challenger strategies, rule tuning)
Contribute to internal and external documentation, including: Fraud and AML best practices, Lifecycle risk frameworks, Playbooks for onboarding, ATO, and payment fraud
Help shape standardized analytics and reporting frameworks across customers

What we offer

Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Unlimited PTO policy
AI First company
both Co-Founders are engineers at heart
and over 50% of the company is Engineering and Product
Family-Friendly environment
Regular team events and offsites
Unparalleled learning and professional development opportunities

Fulltime

Cybersecurity- Data Protection Analyst

The Cyber Security Data Protection service is responsible for multiple programs ...

Location

Mexico , Naucalpan de Juárez

Salary:

Not provided

Ford Motor Company

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher is a MUST
1+ Years, Experience in a cybersecurity role
Basic-mid knowledge in KQL or SQL
Advanced English proficiency
Experience in Data Protection / Information security Roles
Basic-mid Knowledge in Query Languages
Strong knowledge of the Microsoft Office products, proficiency in Excel
Remediate DLP alerts and perform analysis for triage/escalation is a must
Analyze and aggregate data loss prevention data to support the enhancement/tuning of existing policies and determine additional controls
Experience/ willing to work with multicultural, cross-functional and/or multi-regional teams

Job Responsibility

Remediate DLP alerts and perform analysis for triage/escalation is a must
Analyze and aggregate data loss prevention data to support the enhancement/tuning of existing policies and determine additional controls
Analyze global data loss prevention data to provide metric reporting
Conduct new hire orientation and DLP training
Establish and manage relationships with key business stakeholders
Translate business requirements into deliverables and negotiate feasibility with available tooling/resources
Define, implement and support process and technology improvements related to preventing unauthorized disclosure, modification, removal or destruction of information (e.g. USB block program)
Serving as a DLP subject matter expert within the organization
Collaborating on the DLP rule development lifecycle including policy development, response rules, and maintenance
Support with potential breach investigations as well as having knowledge of the relevant data privacy and protection regulations

Data Security Analyst

We are looking for a skilled and meticulous Data Security Analyst to join our te...

Location

United States , Savannah

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience in cybersecurity, with a focus on data protection and governance
Proficiency in Microsoft Purview and data loss prevention tools
Familiarity with regulatory standards such as ISO 27001, NIST 800-53, and other compliance frameworks
Strong knowledge of cybersecurity policies and their implementation
Ability to leverage AI-driven tools for security automation and threat detection
Excellent analytical skills to conduct risk assessments and identify vulnerabilities
Effective communication skills to deliver training and collaborate with diverse teams
Demonstrated ability to manage compliance documentation and support audit processes

Job Responsibility

Establish and enforce data governance frameworks to ensure secure handling and classification of information
Develop and implement policies for data classification across both structured and unstructured datasets
Configure and manage data loss prevention tools on Microsoft 365 and other platforms to mitigate potential risks
Monitor alerts related to data loss prevention and respond promptly to incidents with effective remediation strategies
Integrate AI-driven tools such as Microsoft Copilot for Security to improve threat detection and automate compliance reporting
Conduct thorough risk assessments and gap analyses to identify vulnerabilities and ensure adherence to industry standards
Provide documentation and support for audits, ensuring compliance with regulatory requirements
Deliver security awareness training to promote best practices in data protection and secure information handling
Collaborate with cross-functional teams to streamline data lifecycle management and enhance overall security posture

What we offer

Medical, vision, dental, and life and disability insurance
Eligible to enroll in company 401(k) plan

Fraud Analyst

Join Barclays as a Fraud Analyst, where you will play a key role in protecting t...

Location

United Kingdom , Glasgow; Edinburgh

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Highly analytical, with a degree in a numerate discipline or equivalent practical experience demonstrating strong quantitative capability
Proficient in data analysis and interrogation, with experience using tools such as SAS, SQL, Python (or the aptitude to quickly develop these skills)
Ability to analyse large and complex datasets to identify trends, risks, and actionable insights to reduce fraud losses

Job Responsibility

Support the ongoing enhancement of fraud prevention capabilities
Manage and optimising fraud detection systems
Assess fraud risk, monitor losses, and evaluate control effectiveness to identify opportunities for mitigation
Leverage data-driven insights to analyse complex fraud trends, identify root causes, and develop forward-looking strategies to reduce fraud exposure and prevent future losses
Translate complex data into meaningful and actionable outcomes

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Cyber Operations Analyst

Embark on a transformative journey as a Cyber Operations Analyst at Barclays. At...

Location

United States , Whippany

Salary:

80000.00 - 120000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Basic familiarity with SIEM platforms and the ability to monitor, triage, and document security alerts in a structured SOC environment
Ability to perform initial analysis of security alerts and events, following established runbooks and escalating incidents according to defined procedures
Foundational understanding of common security incidents such as phishing emails, endpoint alerts, and basic network anomalies
Ability to recognize common malware indicators and suspicious activity using alerts from endpoints, proxies, IDS, and network security tools
Understanding of core cybersecurity concepts, including attack lifecycles, basic threat types, and the importance of defense-in-depth
Basic knowledge of operating system fundamentals (Windows & Linux) and introductory networking concepts such as TCP/IP, DNS, and HTTP
Familiarity with common attacker techniques and indicators of compromise from a defensive (blue-team) perspective
Awareness of cloud computing concepts and basic security considerations in platforms such as AWS, Azure, or Google Cloud

Job Responsibility

Deliver 24/7 continuous monitoring, analysis, incident response, threat hunting, and intelligence services
Management of security monitoring systems, including intrusive prevention and detection systems, to alert, detect and block potential cyber security incidents, and provide a prompt response to restore normal operations with minimised system damage
Identification of emerging cyber security threats, attack techniques and technologies to detect/prevent incidents
Management and analysis of security information and event management systems to collect, correlate and analyse security logs, events and alerts/potential threats
Triage of data loss prevention alerts to identify and prevent sensitive data for being exfiltrated from the banks network
Management of cyber security incidents including remediation & driving to closure

What we offer

Medical, dental and vision coverage
401(k)
Life insurance
Other paid leave for qualifying circumstances
Incentive award
Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Staff Platform Manager, Chargebacks and Disputes

The Community You Will Join: Airbnb's Payments organization is central to the tr...

Location

United States

Salary:

Not provided

Airbnb

Expiration Date

Until further notice

Requirements

10+ years building payments, Payments Risk or risk related products in a product management role within global technology or financial services companies
Prior experience working with Payments Risk including Dispute lifecycle management. (Fintech experience strongly preferred)
A subject matter expert on payments risk with proven track record of launching and scaling detection, fraud prevention and dispute resolution products that balance customer experience
Experience leading complex projects, leveraging ML , operations, and signals from external vendors
Technical chops with experience as an engineer, data scientist, analyst, or operations
Experience integrating Gen AI as solution and delivering business value
Thrives in a startup environment: loves dealing with fast pace, changing needs, and limited resources.

Job Responsibility

Own and evolve the product roadmap for dispute lifecycle management spanning chargeback ingestion, representment decisioning, and pre-arbitration
Partner with Engineering, Data Science, Analytics and operations to sharpen dispute decisioning models, build product improvements and optimizations by processor, reason code, and product vertical, and translate those insights into concrete roadmap bets that improve win rate and reduce losses
Drive the design and rollout of proactive dispute prevention capabilities including on-trip signal detection and early guest outreach working cross-functionally with Customer Support, Trust, and Operations to resolve guest issues before they escalate to a chargeback
Build scalable disputes infrastructure for new payment methods and product verticals and defining evidence frameworks as Airbnb scales
Collaborate with the Enforcements and Transaction Risk team to design and implement first party misuse detection and enforcement programs that deter repeat dispute abuse, balancing recovery goals with guest experience and marketplace integrity.

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

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Data Loss Prevention Analyst

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