דרושים » כספים וכלכלה » Financial Modeling Analyst

The Actuarial Department is seeking a Financial Modeling Analyst to join a professional team that provides actuarial audit and advisory services to leading financial institutions in the market.
Our department works closely with public companies, banks, credit card companies, pension funds, and insurance firms, operating at the core of their economic and regulatory decision-making processes.
Key Responsibilities:
Build, run, and analyze financial and actuarial models
Work with diverse databases, including developing and executing data controls
Create and maintain KPI reports and analytical deliverables
Collaborate with internal data servers and organizational information systems
Manage analytical tasks end-to-end while meeting deadlines
Work independently as well as in a team within a dynamic, challenging environment.

We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the world’s largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society. We are currently seeking a Consultant to join the Financial Derivatives team within the Financial Advisory Services Department.+ The team provides economic and valuation advisory services related to derivatives and complex financial instruments, including:
* OTC derivatives and structured products
* Valuation of options and equity instruments
* Valuation of various financial instruments and derivatives, including a wide range of debt instruments and complex equity?linked instruments, using advanced valuation models such as the Merton model, binomial models, Monte Carlo simulations, and other methodologies
* Performing synthetic credit ratings for public and private companies for the purpose of debt instrument valuation
* Valuation of financial instruments within complex capital structures using methodologies such as OPM, PWERM, and additional approaches
* All engagements are conducted in accordance with accepted valuation methodologies and in compliance with relevant accounting standards (IFRS and US GAAP). Responsibilities The role includes:
* Gaining a strong understanding of all areas of the team’s activities, including accepted valuation methodologies, relevant accounting standards, and prevailing market practices
* Building, maintaining, and analyzing complex financial models in Excel, often in data? and assumption?intensive environments
* Working closely with internal teams and external advisory clients
* Preparing economic opinions and professional reports in both Hebrew and English
* Taking part in the development and implementation of process improvements, including the use of AI solutions and advanced analytical tools
* Ongoing work with leading financial information systems, such as LSEG and additional database

תת מחלקה:
נגזרים פיננסים

We Are more than a Professional Services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the worlds largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society. We are looking for an experienced FP&A to join us, playing a key role in connecting business activities with financial insights. This role involves close collaboration with senior stakeholders and focuses on delivering data -driven analysis to support decision-making. Key Responsibilities
* Analyze profitability across projects, clients, and business units
* Monitor budget vs. actual performance and support financial planning
* Track and manage WIP and revenue recognition processes
* Build financial forecasts and management reports
* Develop and analyze business and financial KPIs
* Act as a trusted business partner to internal stakeholders
* Support financial processes and systems, including SAP implementation

the role: Build your career at a leading Big 4 firm in a role combining financial process understanding, analytical work, and exposure to banking and regulatory advisory projects. In this role, you will support advisory and audit-related engagements for banks, credit card companies, and other financial institutions. You will work across data, processes, and regulation-helping identify gaps, analyze findings, and contribute to client deliverables in a project-based environment. The role includes:
* Participating in advisory and audit-related projects for financial institutions
* Supporting process and control reviews and identifying operational/regulatory gaps
* Analyzing data and findings, mainly using Excel (and SQL in some projects)
* Reviewing procedures and regulatory materials and translating them into work outputs
* Preparing reports, summaries, and findings for internal teams and clients
* Working with multiple stakeholders within the firm and on the client side
* Working on-site at client offices when needed

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

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.

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 currently seeking a Consultant to join the Financial Derivatives team within the Financial Advisory Services Department.+
The team provides economic and valuation advisory services related to derivatives and complex financial instruments, including:
OTC derivatives and structured products
Valuation of options and equity instruments
Valuation of various financial instruments and derivatives, including a wide range of debt instruments and complex equity‑linked instruments, using advanced valuation models such as the Merton model, binomial models, Monte Carlo simulations, and other methodologies
Performing synthetic credit ratings for public and private companies for the purpose of debt instrument valuation
Valuation of financial instruments within complex capital structures using methodologies such as OPM, PWERM, and additional approaches
All engagements are conducted in accordance with accepted valuation methodologies and in compliance with relevant accounting standards (IFRS and US GAAP).
Responsibilities
The role includes:
Gaining a strong understanding of all areas of the teams activities, including accepted valuation methodologies, relevant accounting standards, and prevailing market practices
Building, maintaining, and analyzing complex financial models in Excel, often in data‑ and assumption‑intensive environments
Working closely with internal teams and external advisory clients
Preparing economic opinions and professional reports in both Hebrew and English
Taking part in the development and implementation of process improvements, including the use of AI solutions and advanced analytical tools
Ongoing work with leading financial information systems, such as LSEG and additional database.

We are looking for a manager to join our Capital Markets Risk Management practice. This is a unique opportunity to work with leading financial institutions, including banks, credit card companies, investment houses, FinTech companies, and more. Key Responsibilities
* Manage and lead SOX 404 engagements, risk assessments, and analysis of business processes within financial institutions
* Lead SOC 1 / ISAE engagements, including scoping, control mapping, coordination with IT and business stakeholders, and preparation of reports related to financial services
* Analyze and implement financial regulations in Israel and globally (capital markets/banking), including aligning processes and controls
* Integrate data Analytics methodologies (SQL / Excel / SAS) to identify anomalies and generate insights
This position is open to all candidates. We are committed to diversity and inclusion, and we believe it drives strength, growth, and continuous learning. We promote an inclusive environment and empower both women and men equally.

תת מחלקה:
ניהול סיכונים פיננסים FRM

We are looking for a Data Scientist to join our team.

The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.


Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.