דרושים » תוכנה » Fraud Data Analyst

The Enterprise Research team is dedicated to protecting the internet by disrupting the economics of cybercrime. Our team of Data Scientists research and develop algorithms to detect bots and fight fraud. We use statistical and machine learning techniques, in both offline and real-time infrastructures, to provide our customers with proactive security and insights into their attacks.

Were looking for a Data Scientist to join our team to support the full-cycle of fraud fighting: from the early stages of gathering business requirements and exploratory research to the development and deployment in production of statistical detection techniques. This role is at the intersection of data, technology, and business as we aspire to deeply understand how actors are perpetrating schemes and develop a powerful product to delight our customers.
What you'll do:
Partner with Product, Engineering, and Analysts to support our business goals in improving bot detection, building out competitive product features, and optimizing our data and ML infrastructure.
Research and experiment with the latest detection frameworks in cyber security and fraud, statistical techniques, and ML tooling.
Support the growth of best practices and Data Science standards in detection and modeling.
Lead large scale projects and drive change that impacts not just yourself, but the Data Scientists and analysts around you and across our Business Units.
Contribute to our growing DS toolsets, that creating tau (disproportionate leverage) by accelerating our teams ability to find fraud, automating cumbersome tasks, and creating novel methodologies by empowering the other humans around you.

We are looking for a Risk Analyst to help us build, design, and manage risk analytics & reporting for our existing portfolio of merchants across all operating countries. Youll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for our Global business for the Risk team.
The role requires strong Data Analytics, Business Intelligence, and Visualization skills and the ability to explain complex situations and concepts through data-driven storytelling.
This role also has scope for building risk models for our existing portfolio of merchants to mitigate the existing financial risk. Modelers will be taking the responsibility of defining the problem statement, building the solution, and offering an optimal strategic approach to implement the solution within the existing ecosystem and showcase value addition.
The role will require coordination with teams within Risk and across and managing senior stakeholders within the Risk function. You will need to work with Risk team members to understand their analytics and reporting requirements and build the same. You will be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company.
Key Responsibilities:
Own (Build and maintain) the Risk reporting area for the Global Risk team and publish reports aligning with the requirement timeline
Perform analysis throughout the entire customer lifecycle, including acquisition, portfolio management, and collections providing actionable MI on all aspects of portfolio performance
Provide support to the business by addressing inquiries and offering ad hoc insights into portfolio and strategies.
Develop and maintain the Risk models used to manage customer credit and fraud risk including exposure and default methodologies and associated behavioral measures.
Design, Development, and maintenance of analytical solutions related to risk.
Providing the business and other stakeholders with advice and support on model use, model impact, and model implementation
Supporting external engagement and internal governance in relation to risk models and model frameworks
Requirements
Were looking for someone with moderate experience (Minimum 2-3 years) of working in a financial services / bank or fintech company with exposure to solving risk-related problems equipped with analytical and relevant skill sets.

This is a unique opportunity to join an exciting early-stage startup experiencing hypergrowth in a white-hot segment of the cybersecurity space.
a fast-growing cybersecurity startup and the creator of the first comprehensive software supply chain security solution. As software supply chain attacks rise sharply, platform delivers complete visibility, security, and integrity across all stages of the software development lifecycle (SDLC), helping companies protect against high-profile threats.

Founded in 2019, backed by YL Ventures and Insight Partners and has received significant industry recognition, including Cyber Defense Magazine's Top Infosec Innovator (2023) and multiple other awards in recent years.

As a Data Engineer , you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization. This is a "one man show" position, meaning you will work independently to manage all aspects of data engineering, from data collection to analysis. This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.

Responsibilities
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are looking for an experienced and highly skilled Senior Data Analyst to join our team . The ideal candidate will have a strong analytical mindset, extensive experience in data analysis, and the ability to translate complex data into actionable insights. This role involves working closely with cross-functional teams to support strategic decision-making, improve business processes, and drive growth, with a focus on enhancing developer productivity and engineering metrics.

Join our team and make an impact through data-driven insights and take our reporting and research projects to the next level, creating new value
What You'll Do

Analyze large, complex datasets to identify trends, patterns, and opportunities.
Conduct in-depth research on industry trends and best practices to inform data strategies.
Develop, maintain, and deliver comprehensive reports to internal stakeholders and customers using data analysis and a variety of tools, including dashboards and visualizations, tailored to engineering performance metrics.
Generate actionable insights and identify opportunities for value creation across departments.
Offer data-driven recommendations to enhance engineering efficiency and improve team outcomes.
Act as a liaison between technical teams and business units to communicate findings effectively.
Stay updated on industry trends, tools, and technologies.

CRM is an end-to-end business management platform tailored for business-specific needs.
makes it easy for the entire business to work together, from marketing to sales to customer service.

was built from the ground up by developers who knew in 2011 that there had to be a better way to improve customer relations and decided to develop software for every need to keep customers delighted.

We are going global after conquering the local market with more than 2,000 satisfied Israeli customers from various industries.

Are you up for the challenges?
We are seeking a Senior Business Data Analyst to join our team. You will analyze complex data sets to uncover business trends, insights, and opportunities that drive strategic decisions. A deep understanding of business drivers and the ability to maximize profitability while meeting KPIs is essential. You will work closely with cross-functional teams to deliver actionable insights that optimize performance.

As a Business Data Analyst in you will
Analyze large data sets from multiple business domains (sales, marketing, finance, customer service, etc.) to derive actionable insights.
Develop and implement reporting systems and dashboards to monitor business performance and KPIs.
Provide strategic recommendations based on data analysis to improve business outcomes.
Collaborate with business stakeholders, including senior leadership, to understand business needs and translate them into data-driven solutions.
Lead data-driven projects, ensuring data integrity and alignment with business goals.
Utilize advanced analytical techniques, including statistical analysis, forecasting, and predictive modeling.
Mentor junior analysts and assist in their professional development.
Continuously improve data analysis processes and tools for better efficiency and accuracy.

About the role:
Youll become an expert on online fraudsters behavior: review, debate, and research case studies in to get into the fraudster's mindset and anticipate their next move.
Cultivate new paths for fighting fraud, and take part in building our cutting-edge technology - writing production code to implement our insights and logic into the decision-making system.
You are - a goal-oriented, fast, and innovative thinker, aiming to solve complex challenges with lots of creativity.
You have strong attention to detail, knowing when to dive deeper and when the juice aint worth squeezing.
Invent, design, and implement attributes/features in and above our automated human and machine learning model, using SQL and Python.
Play a central part in Forters business cycle. Meet customers and collaborate with marketing/business initiatives.
Find solutions to problems supposedly unsolvable by thinking like a hacker.
Collaborate with a team of A-players analysts, data scientists and engineers to develop the next generation of Forters technology.

We are looking for a highly analytical and detail-oriented Data Analyst to help us extract meaningful insights, refine our models, and improve customer experiences through data-driven decision-making.
Our Analytical Models team, part of the Product department, is at the core of our innovation. We design, refine, and enhance the analytical models that drive the intelligence behind our products. We work closely with product managers, data scientists and R&D teams to ensure our models are accurate, scalable, and aligned with business objectives.
Responsibilities
Analyze large-scale financial datasets to uncover trends, insights, and opportunities for model optimization.
Work closely with product managers and R&D to enhance the structure and logic of analytical models.
Monitor model quality by tracking accuracy, coverage, and overall performance, implementing improvements as needed.
Build dashboards and reports to visualize insights and present findings to both technical and non-technical stakeholders.
Collaborate in a dynamic, fast-paced environment, contributing innovative ideas to improve data-driven personalization.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the data Team data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day Were looking for a Product Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is Embedded within product teams and drives impact end-to-end through the product development life cycle. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of.
What you will be doing You will work closely with Product teams and your responsibilities will include:
* Analyze user behavior and product usage to identify customers needs to inform product development and strategy.
* Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
* Measure features adoption and retention and identifies opportunities for growth..
* Design, execute, and analyze A/B tests to measure the impact of product changes and refine strategies.
* Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
* Play a key role in understanding our users and their needs.
* Lead the development of innovative data products.
* Stay updated on industry trends and best practices in data analysis and product optimization.

Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if thats not enough, we guarantee that your ideas will genuinely make an impact.

We are looking for a sharp and passionate Data Analyst to join our top-notch data analytics team. In this role, you will collaborate closely with various departments, providing invaluable support in analyzing data, uncovering insights, and helping to drive data-informed decision-making across the organization. You will work with the latest technologies and the best tools available in the data world.
Responsibilities:
Proactively provide insights that will drive business growth.
Design, develop and manage business intelligence, statistical, and other advanced analyses projects end to end.
Own and manage multiple data initiatives and projects both on an ongoing and an ad-hoc basis while using new approaches of data analytics.
Design, develop, and support dashboards, information systems databases, and reporting tools for operational and business needs. Design and enforce access control for all data across the different systems.
Review and analyze existing functionality for areas of improvement.

We are looking for a Senior Data Analyst who will join our R&D team.
As a Data Analyst, you will have a significant opportunity for impact, driving the company to new heights. You will influence decision making processes throughout the user journey, be a partner to different teams, and drive strategic business decisions that shape the direction of the company.

What you will do:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights.
Understanding business operations requirements and creating useful and planned solutions to address data needs.
Analyze large datasets and provide useful actionable recommendations to support the business operations goals.
Develop data processes and build data infrastructure for the relevant stakeholders.
Build and maintain reports, dashboards, and KPIs to monitor performance.
Translate business requirements to analytical logics, and create a clear visualization which "tells the story".