דרושים » כספים וכלכלה » Junior Risk Team Representative - Tel Aviv

We're looking for a Senior Car Insurance Pricing Expert to help shape how we price risk across our global business, from our Tel Aviv office.
This isn't a traditional actuarial role. You'll sit at the intersection of Insurance, Data Science, Product, Engineering, and Business Strategy on our Insurance team, owning hard pricing and risk-management problems end to end. That means finding opportunities, designing better approaches, building scalable tools with technical teams, and turning insights into decisions that move growth, profitability, and risk selection forward.
You might be a trained actuary, a pricing leader, a decision scientist, or a technically strong insurance operator who's built serious pricing capabilities. Formal credentials are a plus, but they're not the point. The point is whether you can use data, insurance intuition, statistical rigor, and AI-enabled tools to solve complex pricing problems better and faster than the industry standard.
We believe three things matter for every role : drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Own and evolve core components of Car pricing strategy, bringing analytical rigor and product-minded creativity to how we price risk
Identify high-leverage opportunities across rating, underwriting, segmentation, risk selection, growth, profitability, and portfolio management
Build, evaluate, and improve Car pricing and risk models using actuarial methods, machine learning, AI-enabled workflows, and strong business judgment
Partner with Data Science, Product, Engineering, Finance, and Growth to turn pricing ideas into scalable capabilities
Translate complex pricing problems into clear product and platform requirements, helping teams build internal tools that make better decisions faster
Define and track key metrics - loss ratio, rate adequacy, conversion, retention, segmentation lift, and model performance - to keep decisions grounded in real impact
Make complex actuarial and pricing concepts clear and actionable for technical and non-technical audiences alike, and help build pricing acumen across the Tel Aviv team

As an TMS Analyst youd be joining the team working behind the scenes to protect us from bad actors; managing the risks that might have adverse impacts on our product, financials and our ability to meet client needs. Youll support the detection, analysis, and investigation of suspicious activities to ensure compliance with industry regulations and protect both us and our users interests. This role will involve assessing transactions, identifying potential risks, and collaborating with cross-functional teams to ensure suspicious activities are promptly investigated and addressed.

A day in a life and how you will make an impact:
The TMS Analyst will lead initiatives, in collaboration with the TLV Director of Compliance Operations and TLV TMS Team Lead, to handle the daily tasks to support our regulatory AML requirements.
Analyze transaction data and identify potentially suspicious activities in line with BSA/AML laws and regulations.
Review and investigate alerts generated by both automated transaction monitoring system as well as internal escalations from within the company, i.e. subpoenas, RFIs, fraud escalations, etc.
Conduct enhanced due diligence and escalate potential high-risk activities to senior management.
Prepare and submit Suspicious Activity Reports (SARs) in accordance with local regulatory guidelines.
Work cross-functionally to continuously improve monitoring processes and workflows.
Stay updated on relevant industry regulations and ensure our transaction monitoring processes are aligned.
Participate in ad hoc compliance and risk management projects.

we are looking for a Risk Data Analyst.
As part of Risk Management team, you will be a part of a pivotal, growing organization within the company. The Risk Management departments mission is to analyze, review, and mitigate risk in decision making processes across .
As part of your role, you will:
Support the fair lending lifecycle including monitoring credit underwriting policies for disparate impact and conducting demographic portfolio analyses. Maintain regulatory compliance reporting and partner with cross-functional teams to identify risks and implement less discriminatory alternatives, as well as providing thorough documentation of all of the above.
Own end-to-end data products, from extracting raw data from complex datasets to developing sophisticated analyses, monitoring systems, and reports using Python, SQL, and other analytical tools.
Translate complex data models into actionable business intelligence with the goal of improving modeling, business understanding, and strategic decision making, as well as clearly communicating complex findings to partners, internal stakeholders, and management.
Partner with cross-functional teams across research, operations, product, and engineering to proactively identify and manage risks associated with new models and/or policies
Continuously broaden your knowledge of operational, business, and technological landscape and identify and execute high-value initiatives that contribute to the company's strategic goals.
Leverage AI-driven tools to automate workflows and drive operational efficiency across the team

We are seeking an experienced candidate to join our derivatives product team. The candidate will be responsible for supporting our clients and prospects in their use of our derivatives, data, risk and portfolio analytics solutions products. They will work within the product management team, working closely with the sales, account management, and development teams providing derivatives risk and analytics solutions expertise.

Responsibilities
Pre-sales support - Provide demos, and explain details of the company Portfolio Analytics product, valuations, market risk an credit risk analytics solutions to clients and prospects. Gather requirements in order to understand prospect solution needs. Provide sample and test reports based on prospect portfolios in order to demonstrate capabilities. Migrate legacy technology workflows into our new platform our Portfolio Analytics
Post-sales support - Analyze detailed client requirements, support the solution implementation process on both the company and Client side. Provide assistance to clients in data and analytics challenges.
Product Development - Work with product managers dev and quants to help manage enhancement requests and define requirements for new and existing features.
Training / Subject Matter Expertise - Provide training and subject matter expertise to sales and account management teams on our platform and our Portfolio analytics products, how our products are used by external customers within trading, risk management and valuation workflows.
Support the onboarding and production of content for clients consuming data files, valuations and market risk reports.
Validate and explain numbers for data files, valuations, risk content.
Implement integration workflows.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.
We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.
This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.
Key Responsibilities:
Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.
Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.
Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.
Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.

we are looking for a Payment Fraud Product Manager.
As the Product Manager for Riskified's Payment Fraud domain, you'll help merchants maximize revenue by approving more legitimate transactions while keeping fraudulent ones out - all without compromising the customer experience. Payment Fraud is Riskified's flagship product, delivering real-time fraud decisions across the full transaction lifecycle and driving measurable impact for merchants across industries.
This is a high-impact role at the intersection of risk, machine learning, and merchant experience. You'll work closely with engineering, data science, analysts, and fellow PMs to build innovative capabilities that detect evolving fraud patterns, optimize approval rates, and surface actionable risk intelligence.
At the core of this role is driving Riskified's market expansion by leading new ventures within the Payment Fraud domain. You will partner closely with Sales to pursue new opportunities, map target industries and geographies, and identify critical gaps between Riskified's current capabilities and prospect needs. By developing a deep understanding of vertical-specific fraud patterns, you will shape and validate solutions that ensure successful entry into new markets through direct engagement with potential merchants and pilot partners.

As a KYC Support Specialist, youll be at the heart of that process - verifying merchant information, managing compliance requirements, and helping the team strike the right balance between operational efficiency, strong conversion rates, and the highest regulatory standards.

What youll be doing:
Manage the end-to-end KYC onboarding process - merchant verification, document review, account validation, and compliance checks.
Perform merchant due diligence to identify risks, inconsistencies, or suspicious activity, and support broader fraud prevention and risk assessment efforts.
Communicate daily with merchants, collecting information, resolving issues, and guiding them through onboarding - while ensuring no case falls through the cracks.
Partner with local and international acquirers and financial institutions to manage approvals and ongoing requirements.
Proactively identify recurring issues, investigate root causes, and drive solutions.
Support business growth while ensuring compliance with regulatory and internal requirements
This is a hands-on operational role that combines analytical work with daily communication with merchants, acquirers, and financial partners. Success in this role requires strong organizational skills, attention to detail, and the ability to manage multiple cases simultaneously

We are looking for a highly analytical and driven FP&A Business Partner to join the Finance team at our company. In this role, you will partner closely with business leaders across the organization to drive financial planning, forecasting, and data-driven decision-making. Youll build and maintain financial models, budgets, and reporting tools that enable clarity, efficiency, and strategic insight across the company.
This is a unique opportunity to join a rapidly scaling, global technology company where finance plays a key role in shaping growth strategy. The ideal candidate thrives in a fast-paced, dynamic environment, is comfortable working independently, and enjoys translating numbers into actionable insights.
What Youll Do
Lead the budgeting, forecasting, and financial planning processes across multiple business units.
Build, maintain, and improve financial models that support strategic decision-making, including top-line forecasting, cost modeling, and operational KPI tracking.
Analyze performance vs. plan, identify key trends, and provide high-level commentary for management and board reporting.
Collaborate cross-functionally with Sales, Operations, Product, HR and others to align financial plans with organizational goals.
Develop and automate reporting dashboards that track key performance metrics and enable proactive business management.
Work with the Accounting team to ensure accuracy of actuals and consistent financial reporting across systems.
Contribute to the design and implementation of scalable FP&A processes, tools, and systems to support the companys growth.

Required Business Analyst
The opportunity
Our Business Analyst will thrive in a dynamic, fast-paced environment that offers exposure to a diverse portfolio of game genres and a culture that actively encourages the use of AI tools to scale your impact. This is a highly collaborative space where youll work alongside and learn from top-tier industry experts, ensuring continuous professional growth and innovation.
What you'll be doing:
Analyze large-scale player data to identify trends, opportunities, and risks across retention, progression, economy, and monetization.
Build and maintain dashboards and reports used daily by Product, Game Design, and Monetization and R\\&D teams.
Define and monitor KPIs, detect anomalies, and proactively surface insights to stakeholders.
Partner closely with Product Managers, Economy Managers, and Developers to support data-driven decision making.
Support A/B testing efforts: experiment design, results analysis, and clear recommendations.