דרושים » תוכנה » data Analyst - למחלקת ניהול סיכונים בחברה פיננסית בתל אביב JB-4914

As a Senior Data Analyst , youll be a key part of our Data Group, working alongside top-tier data analysts, data scientists, and data engineers.

Youll play a central role in shaping how data drives our product, impacting hundreds of thousands of users by turning complex data into actionable insights.

Data is at the heart of everything we do . In this role, youll help optimize key KPIs, enhance data pipelines, and enable smarter, data-driven decisions across the company.

What Youll Actually Do:

Own product analytics end-to-end for a core dataset within Data Group, serving as the primary authority on analytics for your teams data, with autonomy to define standards, methodologies, and direction.
Lead advanced, impact-driven analyses across the full lifecycle of the dataset - from supplier ingestion and enrichment logic through algorithms, product usage, and customer impact.
Work closely with Product, R&D, and Data Engineering to shape enrichment logic, guide decisions, and translate complex data problems into actionable insights.
Build and own core dashboards and analytical tools that become a trusted, day-to-day foundation for decision-makers working with your dataset.
Drive data initiatives that measurably improve data quality, product performance, user experience, and business outcomes for your domain.

we are looking for a Data Researcher.
As a Data Researcher, you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system.
You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.
In this capacity, your work will also include some direct engagement with these key customers, providing analytical insights and helping to tailor solutions to their specific needs.
You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field.
We foster an informal, collaborative environment where your contributions are highly valued.
This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and refine our systems core decisioning logic and models in a live production environment.
Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats.
Leverage rich datasets to derive actionable insights, develop new system components, and advance our feature engineering processes.
Develop, prototype, and automate new tools and processes to enhance the precision and scale of our systems.
Collaborate with a world-class team of Data Scientists, Analysts, Researchers, and Engineers to develop the next generation of AI technology.

we are looking for a Fraud Analyst.
As a Fraud Analyst, you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system. You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.
In this capacity, your work will also include some direct engagement with these key customers, providing analytical insights and helping to tailor solutions to their specific needs.
This is a role with significant technical aspects, but prior coding knowledge is not required - we believe the right candidates can learn everything they need to do this job well as part of our training process, and while doing the job.
You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field. We foster an informal, collaborative environment where your contributions are highly valued. This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and refine our systems decisioning logic in production.
Conduct in-depth research into complex fraud patterns and emerging threats.
Leverage extensive datasets to derive actionable insights and enhance decisioning accuracy.
Develop and automate analytical processes to improve efficiency and scale our capabilities.
Collaborate with Data Science, Engineering, and other cross-functional teams to drive platform improvements.

Join our team as a Geo Analyst and play a key role in producing the underground utility maps that sit at the heart of our product. In this entry-level position, youll work hands-on with diverse geospatial datasets and real project outputs, developing a deep understanding of how raw information becomes accurate, high-impact mapping for our customers.



Responsibilities

Process, extract, and analyze spatial data from multiple sources, including aerial imagery, remote sensing, engineering plans, surveys, and web-based datasets.
Deliver customer projects on time and at high quality, working in a fast-paced, deadline-driven environment.
Interpret and classify underground utilities and construction activities using geospatial tools and digital imagery.Work with GIS tools (mainly QGIS) to review, validate, and edit geospatial data.
Perform quality assurance (QA) in collaboration with external and internal experts.