דרושים » תוכנה » Security Analyst

Join our Operation team. Help drive our world-class threat monitoring and fraud detection platform securing organization funds. Be part of the analysts team, work with customers and key POCs, to provide an additional level of security and confidence, by leveraging unique intelligence feeds, threat logs, and IOCs. Collaborate with our world-class research team and various RnD teams as you help shape our product, help customers be more secure, and immerse yourself to the cyber fraud tech ecosystem.

Proactively monitor and review threats and suspicious events from our customers.
Investigate alerts, triage, deep dive, and come up with proper action items and remediation plans.
Use multiple sources of our data intelligence trust network, external threat feeds, etc.
Support customer's payment processes and workflows.
Maintain excellent customer satisfaction through professional, proactive and personal service.
Work closely with our research and development team.
Contribute to our knowledge base by creating fraud analysis reports and best practices.

Required Cyber Data Analyst
Description
We are redefining trust in blockchain through advanced, integrated security. Our on-chain security platform is trusted by leading Web3 companies-including Coinbase, MetaMask, Uniswap, Backpack, Stellar, and others-to detect, understand, and automatically prevent or minimize the impact of fraud, scams, hacks, and financial threats.
We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity.
As a Senior Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
Your Chain of Impact:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

You will be part of a research team, creating and improving our core-data algorithms. This Data Analyst role balances strategic, end-to-end data research with high-velocity, ad-hoc analysis to support crucial engineering and product decisions. You will immerse yourself in the fascinating world of maritime data, using Python, SQL, LLM frameworks, and occasionally Java to conduct analysis and ensure your insights drive strategic product development.



What will you do?

Conduct end-to-end analysis & research to create and improve our core-data algorithms.
Turn signals into actionable insights by analyzing GEOINT, SIGINT, and ADINT, and fusing them with maritime data.
Write Python code to extract and analyze data from various sources (including Postgres, MongoDB, SingleStore, and S3).
Leverage Generative AI tools for deep research, data analysis, and coding to accelerate insights.
Analyze large datasets to uncover trends, patterns, and anomalies, applying domain knowledge to interpret data and provide valuable insights for the maritime industry.
Maintain and ensure data quality and integrity, conducting thorough checks to monitor, identify, and resolve inconsistencies, and taking accountability for critical data and infrastructure.
Visualize findings, use data storytelling, and document research in technical papers and logs to understand and communicate actionable insights effectively to stakeholders.
Collaborate effectively with cross-functional teams (including domain and technical experts) to address research challenges and optimize data processes.
Join the Data Analysts technical guild to help grow data analysts professional community.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

As our company continues to scale, were looking for a Product Data Analyst to join our Product team. In this role, youll blend strong analytical skills with operational execution to help our product and go-to-market teams make data-informed decisions. About 70% of your time will be spent analyzing product and customer data, building dashboards, and delivering insights that will shape the future of our product. The remaining 30% will focus on supporting our data operations - ensuring our data processes, tools, and reporting cadences run efficiently, implementing best practices.

Youll sit directly within the Product organization, collaborating closely with Product Managers, Designers, and Engineers to improve how we use data across a growing suite of B2B SaaS products and within our organization.

Responsibilities
Analytics
Analyze product usage and customer behavior across multiple SaaS products to uncover insights that guide roadmap priorities and growth opportunities.
Build and maintain dashboards and reports in Snowflake, Redash, Metabase, and Mixpanel using SQL to support Product, GTM, and leadership teams.
Define and track key metrics such as activation, retention, adoption, ARR growth, and engagement.
Run ad-hoc analyses to answer business questions and support experiments or feature evaluations.

Data Operations
Collaborate with Engineering and Data teams to enhance analytics setup and data workflows.
Partner with Engineering teams to ensure clean data instrumentation, event tracking, best practices for data, and measurement implementation across product features.
Maintain and improve data quality processes, pipeline documentation, and operational standards to support reliable decision-making.

We are looking for a highly analytical Data Analyst to join our Data Science team and support the development, evaluation, and improvement of data-driven models and research initiatives. In this role, you will work closely with data scientists to analyze large-scale behavioral and transactional datasets, generate insights, and help translate raw data into meaningful signals.
Responsibilities
Conduct exploratory analysis on large-scale behavioral and transactional datasets.
Partner with data scientists to support model development, evaluation, and validation activities.
Investigate patterns, anomalies, and trends in user behavior, fraud indicators, and system performance.
Build Python-based analytical workflows to support data investigations and research tasks.
Collaborate with engineering and data teams to maintain high standards of data quality and integrity.
Communicate analytical findings clearly and concisely to the data science team.

We are looking for a Compliance Analyst to join the CISO team. Reporting to the GRC Team Leader, you will fulfill an essential role, joining the team in accomplishing important Compliance projects, ensuring that all our systems and products are safe and meet the required standard.
What will you actually be doing?
Track enterprise compliance across multiple security frameworks including security, privacy and AI frameworks (ISO, SOC, etc) and maintain up-to-date records of requirements and corresponding mitigating controls.
Continuous monitoring of internal security processes to ensure compliance, and liaise with IT and business stakeholders to confirm current security arrangements and maintain systems security process.
Assist with the education and awareness programs to promote security and privacy in the company.
Creatively overcome obstacles so that the Compliance Controls will continuously operate alongside the business activities.
Review proposed changes on an ongoing basis to determine the impact on security and privacy.

We're looking for a Data Analyst to join one of our R&D. You'll design and deliver data-driven solutions that combine data analysis, statistical methods, improved heuristics, and ML models training to power our company's autonomous supply chain intelligence platform. You'll work closely with data science, engineering, product, and supply chain experts - owning solutions from problem definition to iterative improvement.
Responsibilities
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of supply chain performance
Improve and maintain heuristic rules and analytical models for supply chain use cases (e.g., inventory risk, demand patterns, root-cause analysis)
Train and iterate on ML models to enhance existing analytical solutions
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement and refine hybrid decision logic by combining analytical outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Collaborate with software engineers to support deployment of analytical solutions, including testing and logging
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking.

We are looking for a Identity Security Analyst who will focus on investigating and resolving customer-reported security bugs. In this role, youll sit at the intersection of security research, product engineering, and customer success: youll reproduce issues, analyze impact and root cause, coordinate fixes with R&D, and communicate findings back to customers in a clear, actionable way.

This is a hands-on, technical position ideal for someone who enjoys debugging, incident-style investigations, and direct customer impact.

Key Responsibilities

Bug Triage & Investigation

Review and prioritize customer-reported security bugs (vulnerabilities, false positives, detection gaps, performance/coverage issues).

Reproduce issues in lab environments using customer-provided data, logs, and configurations.

Validate whether a bug is product defect, configuration issue, environmental limitation, or expected behavior.

Security Analysis

Analyze suspected vulnerabilities, misconfigurations, or detection gaps to determine impact, severity, and likelihood.

Correlate product behavior with attack techniques (e.g., MITRE ATT&CK, AD / identity attacks, NTLM relay, Kerberos abuse).

Perform log and event analysis (Windows Security / Sysmon / AD / LDAP / application logs) to understand bug context and side effects.

Resolution & Fix Coordination

Work closely with R&D / engineering teams to:

Provide clear reproduction steps, data, and technical context.

Propose mitigations and contribute to detection or logic fixes.

Verify hotfixes and releases against customer scenarios.

Track bugs through their full lifecycle to ensure timely resolution and high SLA adherence.

Customer Communication

Collaborate with Support, Customer Success, and SEs to:

Explain root cause and resolution in customer-friendly language.

Provide interim workarounds or configuration guidance when needed.

Contribute to knowledge base articles, runbooks, and best-practice guides.

Quality & Continuous Improvement

Identify recurring patterns in customer bugs and propose long-term product or process improvements.

Help refine internal monitoring, alerting, and testing for security-sensitive components.

Contribute to test cases and validation criteria for new features from a security QA perspective.