לוח משרות דרושים כספים, כלכלה ושוק ההון משרה מלאה

Requirements:
Education and experience:
Qualified Accountant: CPA level - mandatory.
At least 3 years of experience in financial reporting with experience in Financial Statements analysis; At least 3 years of international experience in a complex industrial environment, understanding IFRS accounting; Fluent in English, both spoken and in writing.
Strong MS Office skills.
Personal skills: Strong data management and analytical skills; Self-motivated, ability to work autonomously, and a detail-oriented, problem-solving mindset is a must.
Team player with hands-on mentality; Service-minded, enthusiastic and high sense of responsibility.

Requirements:
Certified payroll accountant (mandatory)
Minimum of 3 years' experience as a payroll accountant (mandatory)
Strong communication and interpersonal skills with fluency in English
Ability to work effectively both as part of a team and independently
High attention to detail, accuracy, organizational ability, and control
Experience processing payroll with Hilan
You might also have:
Experience with processing payroll in Workday

Requirements:
1-2 years of experience in the Risk Management field
Excellent written and verbal communication skills both in English and Hebrew.
Experience in creating and maintaining knowledge base articles and other documentation
Experience in conducting QA checks and ensuring high-quality performance - an advantage
Background in Excel and SQL - an advantage.

Requirements:
Certified Bookkeeper Type 3, required
10+ years of bookkeeping experience, including global and multi-currency environments
Solid understanding of payroll processes and local tax regulations (VAT, social security, withholding, etc.)
Full-cycle bookkeeping experience: AP, AR, reconciliations, balance sheet reconciliations, accounting schedules and journal entries
Proficiency in Excel and strong analytical and organizational skills
Fluent in Hebrew and English (written and spoken)
Strong communication skills and a collaborative approach
Experience with Workday, SAP, Hashavit, or similar systems, plus background in tech/public companies or additional languages, a plus
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
At least 5 years experience as a product manager in a successful startup or fast-growing company, a must
Hands on experience with fraud detection and prevention, with a strong understanding of fraud trends and mitigation strategies
Capable of understanding complex processes, and identifying areas calling for improvement
Self-organized, process driven
Data-driven and analytical thinker
Fully fluent in English, with top-notch communication skills
Experience leading small, agile teams
Self-learning individual who reads constantly and loves to pass on their knowledge to others
Ability to work in an office environment at least 3 days per week
A strong curiosity about AI and a commitment to learning and adapting in this evolving space.

Requirements:
Israel Payroll Controller certification
5+ years of experience managing payroll processes in Israel
Experience in the high-tech industry, a must
Proficiency in "Hashavit" payroll software, a must
Strong knowledge of Israeli labor laws, payroll regulations, and social security requirements
Experience working with payroll institutions and insurance agents
Experience in a publicly traded company, an advantage
Advanced Excel skills.
Google Sheets knowledge, an advantage
Ability to work in an automated environment rather than manual processes
Strong multitasking skills and high attention to detail
Familiarity with Slack, Workday, FloQast, and prior bookkeeping experience, a plus
Ability to work in an office environment a minimum of 3 days a week
At our company we welcome candidates who are enthusiastic about learning and adapting to the exciting world of AI, as a commitment to ongoing growth in this field is a fundamental part of our culture.

Requirements:
* Bachelor's degree in economics/accounting/business administration - a must
* English and Hebrew at a native level - a must
* Research and analysis capabilities
* The ability to work in a team and independently The position is intended for everyone. we support diversity and see it as a strength and as the ability to develop and learn. We advocate for inclusion and empower both women and men.

Requirements:
5+ years in payments / fintech fraud analytics or related risk science roles, with proven ownership of high‑impact programs in a data‑rich, large‑scale environment.
Expert SQL (window functions, CTEs, performance tuning) and strong programming in Python or R for data wrangling, statistical analysis, and model prototyping.
Deep knowledge of card‑not‑present (CNP) fraud typologies, ACH / RTP risk, chargeback management, and friendly fraud mitigation.
Demonstrated ability to translate complex quantitative findings into executive‑level insights and influence roadmaps across product, engineering, finance, and support.
Advanced data‑visualization skills (Looker, Tableau, Superset, or equivalent) with a portfolio of self‑service dashboards adopted by the company‑wide.
Exceptional communication skills in Englishable to brief C‑suite, advise legal/compliance, and write crisp documentation.
Leadership & mentorship track record: coached analysts, drove hiring, set career ladders, and fostered a culture of curiosity and accountability.
Regulatory fluency in PCI DSS, Nacha rules, Reg E/Z, and relevant US/state fraud‑reporting requirements.
Bachelors or Masters degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
Experience in building statistical models- Advantage.
Experience of developing and maintaining ML Models- Advantage.
Prior experience scaling fraud programs in a marketplace, SaaS, or creator‑economy context - Advantage.
Familiarity with graph databases (Neo4j, TigerGraph) and network‑analytics techniques for collusion detection- Advantage.
Working knowledge of Generative AI / LLM‑based tooling for analyst workflows and fraud pattern discovery- Advantage.