לוח משרות דרושים מתמטיקאים, לחיפוש זה נמצאו 32 משרות

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.

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.

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.

Do you want to join an international team within an innovative fast-paced medical device company? Grab the opportunity and make good use of your Mathematical and programming skills and affinity to medical device.

Key Responsibilities
You will deal with imaging, 3D modeling, surface reconstruction, image processing and high-performance computing.
You will understand the products and the customer needs.
You will research and analyze the underlying problems using real data.
Design and test algorithms in C++ and Python.
Implement algorithms in C++, and integrate them into the application.
Work closely with other members of the algorithms team and members of other groups such as physics and electronics.
Participate in design reviews and code review of co-developers.

a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are looking for a talented, self-driven, and hands-on DSP Researcher to join our Photonics R&D team. In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications. You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams. This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
 
What Youll Do:
* Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
* Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
* Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
* Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
* Develop simulations, models, and analysis tools using Python and/or C ++ for lab experiments, field data analysis, signal processing, and system -level performance evaluation.
* Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
* Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
* Communicate complex technical concepts clearly to both technical and non-technical stakeholders.