Data Scientist / Actuary / Risk Manager
- תל אביב
- משרה קבועה
- משרה מלאה
- Build and maintain financial and risk models for evaluating residuals from merchant account portfolios and acquisition opportunities
- Develop and refine attrition, decay, and lifetime value (LTV) models across merchants, agents, and verticals
- Analyze merchant-level and portfolio-level performance data to identify patterns, red flags, and growth opportunities
- Conduct scenario and sensitivity analysis around churn, volume volatility, and residual breakdowns
- Design and maintain automated dashboards and reports on portfolio health, churn rates, ROI, and cash flow
- Lead due diligence support for potential acquisitions (e.g., vetting statements, forecasting residual stability)
- Collaborate with finance, M&A, legal, and operations to ensure full-spectrum risk awareness
- Translate data into actionable insights and present to stakeholders and executives
- 5+ years of experience in data science, financial modeling, risk management or actuarial science
- Strong understanding of financial cash flow forecasting, NPV, IRR, and ROI
- Solid command of Excel/Google Sheets, plus one or more of: Python, R, SQL
- Experience with recurring revenue models (payments, SaaS, telecom, insurance, etc.)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
- Familiarity with attrition/churn analysis and cohort modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Exceptional critical thinking and communication skills
Mploy